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Orangepeople Interview Questions

Orangepeople Interview Guides

Machine Learning

Encoding Categorical Features

Say you are given a dataset of perfectly linearly separable data. What would happen when you run logistic regression?

Perfectly Separable

Missing Housing Data

Bank Fraud Model

One Million Rides

Data Structures & Algorithms

Given two sorted lists, write a function to merge them into one sorted list.

Merge Sorted Lists

Find the missing integer from a array of consequtive integers

Find the Missing Number

Get Top N Frequent Words

Given an integer N, write a function that returns all of the prime numbers up to N

Prime to N

Move Zeros Back

Write a query to select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

Employee Salaries

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Calculate the first touch attribution for each `user_id` that converted.

First Touch Attribution

Closest SAT Scores

Get the top 3 highest employee salaries by department

Top Three Salaries

Probability

First to Six

500 Cards

Raining in Seattle

Found Item

Given three uniform(0,4) random variables, what is the probability that the median of them is greater than 3?

Median Probability

Statistics

P-value to a Layman

What are the assumptions of linear regression?

Assumptions of Linear Regression

Using R Squared

What statistical test could you use to determine which of two parcel types is better to use, given how often they are damaged?

Different Parcel Effectiveness

Unbiased Estimator

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Brainteasers

When an interviewer asks you a question along the lines of:

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

How should you respond?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

Describe a data project you worked on. What were some of the challenges you faced?

Describing a data project and its challenges

Hurdles In Data Projects

Analytics

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

What are the assumptions of linear regression?

Which assumption of the residuals of the standard linear regression model can not be overcome by increasing the sample size?

Regression assumptions

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

How would you handle the data preparation for building a machine learning model using imbalanced data?

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Let’s say we’re comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? 

Give an example of the tradeoffs between the two.

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

Bagging vs. Boosting

Bagging vs Boosting

Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?

Strategically resolving misaligned expectations with stakeholders for a successful project outcome

Stakeholder Communication

Given a string, write a function to determine if it is palindrome or not.

Note: A palindrome is a word/string that is read the same way forward as it is backward, e.g. <code>&#39;reviver&#39;</code>, <code>&#39;madam&#39;</code>, <code>&#39;deified&#39;</code> and <code>&#39;civic&#39;</code> are all palindromes, while <code>&#39;tree&#39;</code>, <code>&#39;music&#39;</code> and <code>&#39;person&#39;</code> are not palindromes.

Example:

Input:

<pre tabindex="0" class="chroma"><code>word1 = &#34;tree&#34;
word2 = &#34;radar&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def is_palindrome(word1) -&gt; False
def is_palindrome(word2) -&gt; True
</code></pre>

Given a string, write a function to determine if it is palindrome or not.

String Palindromes

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Bias vs. Variance Tradeoff

Explain the difference between the XGBoost and random forest algorithms and give an example where you would use one over the other.

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

XGBoost vs Random Forest: Choice

Xgboost vs Random Forest

How does random forest generate the forest? Additionally, why would we use it over other algorithms such as logistic regression?

What happens when you average the output on multiple decision trees?

What happens when you average the output on multiple decision trees?

Average Trees

Random Forest Explanation

What is the difference between Logistic and Linear Regression?

When would use one instead of the other in practice?

What is the difference between Logistic and Linear Regression?

Linear vs Logistic Regression

Let’s say that you work at a B2B SAAS company that’s interested in testing the pricing of different levels of subscriptions.

Your project manager comes to you and asks you to run a two-week-long A/B test to test an increase in pricing.

How would you approach designing this test? How would you determine whether the increase in pricing is a good business decision?

Testing Price Increase

A/B Testing

Tell me about a project in which you had to clean and organize a large dataset.

Describing a real-world data cleaning and organization project

Data Cleaning Experiences

Data Pipelines

What are the key differences between classification models and regression models?

What is the MOST important difference between regression and classification models?

What is the MOST important difference between regression and classification models?

Classification vs Regression

Classification and Regression

Given an array and a target integer, write a function <code>sum_pair_indices</code> that returns the indices of two integers in the array that add up to the target integer. If not found, just return an empty list.

Note: Can you do it on \(O(n)\) time?

Note: Even though there could be many solutions, only one needs to be returned.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>array = [1 2 3 4] 
target = 5 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def sum_pair_indices(array, target) -&gt; [0 3] or [1 2]
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>array = [3]
target = 6 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>Do NOT return [0 0] as you can&#39;t use an index twice.
</code></pre>

Given an array and a target integer, write a function that returns the indices of two integers in the array that add up to the target integer.

Target Indices

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service in addition that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

How would we build this model?

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let's say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let’s say you work at Allstate. Allstate is running <code>N</code> online ads right now. The table <code>ads</code> contains all those ads, ranked by popularity via the <code>id</code> column (e.g., the entry with <code>id = 1</code> is the most popular, etc.).

Create a subquery or common table expression named <code>top_ads</code> containing the top 3 ads (by popularity) and return the number of rows that would result from the following operations

<ol>
<li><code>ads INNER JOIN top_ads</code></li>
<li><code>ads LEFT JOIN top_ads</code></li>
<li><code>ads RIGHT JOIN top_ads</code></li>
<li><code>ads CROSS JOIN top_ads</code></li>
</ol>

Note: Please make the <code>join_type</code> column in your output have the values <code>inner_join</code>, <code>left_join</code>, etc. for each of their respective join types

Note: Please return only one query with each number in a different row

Example:

Input:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>join_type</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>number_of_rows</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Size of Joins

Given an integer <code>N</code>, write a function that returns a list of all of the prime numbers up to <code>N</code>.

Note: Return an empty list there are no prime numbers less than or equal to <code>N</code>.

Example:

Input:

<pre tabindex="0" class="chroma"><code>N = 3
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def prime_numbers(N) -&gt; [2,3]
</code></pre>

How would you convey insights and the methods you use to a non-technical audience?

Making data-driven insights actionable for those without technical expertise

Simple Explanations

Let’s say you are working on Google Docs. A product manager comes to you and asks how the product is doing. 

What are the top five metrics that you would start tracking to understand the health of Google Docs?

Docs Metrics

Product Sense & Metrics

What’s the relationship between PCA and K-means clustering?

What does the variable “k” in k-means clustering refer to?

What does the variable "k" in k-means clustering refer to?

Input of K-means

PCA and K-Means

The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding ones, usually starting with 0 and 1. It is often used in algorithm examples, and is defined by the following formula: F(n) = F(n-1) + F(n-2), with F(0) = 0 and F(1) = 1.

Your task is to implement the Fibonacci algorithm in three different methods:
1. Recursively
2. Iteratively
3. Using Memoization

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>n = 5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 5
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>n = 10
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 55
</code></pre>

The Fibonacci sequence starts as follows: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55…

This question requires the implementation of the Fibonacci sequence using three different methods: recursively, iteratively, and using memoization.

Implementing the Fibonacci Sequence in Three Different Methods

Let’s say you’re a data engineer at Fidelity Investments, and you’re running a SQL query on a cloud-based data warehouse. All cluster resources and network health metrics look normal, but the query is still taking over 10 minutes to complete.

How would you go about diagnosing and improving the performance of this query?

How would you diagnose and speed up a slow SQL query when system metrics look healthy?

Slow SQL Query

Query Optimization

Given the <code>employees</code> and <code>departments</code> table, write a query to get the top 3 highest employee salaries by department. If the department contains less that 3 employees, the top 2 or the top 1 highest salaries should be listed (assume that each department has at least 1 employee). 

Note: The output should include the full name of the employee in one column, the department name, and the salary. The output should be sorted by department name in ascending order and salary in descending order. 

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>employee_nam</code>e</td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>department_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

How would you explain the bias variance tradeoff in machine learning to a high school student?

Replaced by QUESTION 791 - Should be deleted

Bias Variance Tradeoff

Challenge

Join us as an Associate Product Manager and help shape exceptional digital experiences for our customers. You'll support the development, maintenance, and enhancement of our mobile apps and websites, translating strategic goals into actionable requirements. Using agile methods and AI tools, you'll collaborate across teams to deliver innovative solutions that prioritize customer satisfaction. If you're passionate about digital products and thrive in a fast-paced environment, this is your opportunity to make a meaningful impact. Responsibilities: Champion the digital customer experience, advocating on the customer's behalf, and working diligently to build an outstanding experience. Support with delivery and ongoing maintenance, which may include product build, content updates, and on-call collaboration to ensure successful uptime of the digital experience as needed. Support with maintaining the feature development and backlog, attending daily scrums to help drive priority decisions, and removing roadblocks. Contributes to developing the go-to-market strategy for the digital customer experience. Assists with translating the digital strategy into clearly prioritized user stories, business requirements, and other product documentation, including acceptance criteria and test cases. Ensures appropriate delivery of product requirements across the development lifecycle, including partnering with design and technology teams to ensure the visual design, content strategy, copywriting, and development align with the strategic vision. Assists with developing presentations to share and build advocacy for the digital strategy with leadership audiences and partners across the organization. Supports the ongoing customer experience by monitoring product performance, supporting A/B tests, and recommending opportunities to enhance the company's experiences and products on digital platforms, including mobile apps and websites. Leverages AI to drive efficiencies. Key Success Skills & Capabilities: Experienced in MyJira application, incl. ticket writing, tracking & reporting. Experienced in Agile processes, incl. scrum ceremonies (participating & leading). Certified Scrum Product Owner (CSPO) certification (preferred). Adept in collaborating on & driving digital product solutions with partners, from ideation through requirements & delivery. Experienced in writing detailed, logical & digestible digital product requirements and acceptance criteria. Strong CMS experience (GoPub & AEM preferred), from simple content updates (copy/imagery) to advanced website page implementations. 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Ability to take personal initiative, follow instructions, and collaborate with others. Experience resolving technical, user, and business issues in a fast-paced online organization. Experience managing requests that include integration with multiple back-end systems. Ability to work within a diverse team of resources from strategy, creative, business, and technical disciplines. Demonstrable ability to collaborate with and achieve results through others, plus the ability to build strong, balanced relationships within all levels of the organization. Outstanding verbal and written communication. Experience in estimating project costs and the level of effort required for delivery. Experience working with AI tools. Digital website product experience, including conducting user gap assessment & ideation, writing detailed requirements & acceptance criteria, and driving go-to-market delivery efforts. Required Education: Bachelor’s Degree or equivalent experience. Benefits: 401(k). Dental Insurance. Health insurance. Vision insurance. We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities: Participate in OP monthly team meetings and participate in team-building efforts. Contribute to OP technical discussions, peer reviews, etc. Contribute content and collaborate via the OP-Wiki/Knowledge Base. Provide status reports to OP Account Management as requested. About us: At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields, including AI, cybersecurity, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.

Join our dynamic team as a seasoned Data Scientist, driving strategic initiatives across the social ecosystem. This role is perfect for a data scientist with exceptional analytical expertise, extensive experience navigating large-scale data environments, and a passion for transforming insights into impactful outcomes. Elevate our data-driven decision-making with your expertise and make a meaningful difference in a fast-paced, innovative environment. Responsibilities: Data Analysis & Modeling: Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to the ecosystem (products, partners, platforms, and user interactions). Metric Development: Design, implement, and meticulously maintain critical metrics to measure ecosystem health, growth, and engagement accurately. Experimentation: Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies. Stakeholder Collaboration: Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making. Reporting & Visualization: Construct sophisticated dashboards and detailed reports to communicate findings to both technical and non-technical stakeholders effectively. Ad Hoc Analysis: Provide timely, high-quality analytical responses to urgent business inquiries. Ideal candidate profile: Minimum 5 years of data science experience (SQL, Python/R). Strong analytical & modeling skills. Skilled in data visualization (Tableau, Unidash, Metrics360). Excellent communicator & collaborator. Experience with large-scale datasets. Able to work independently, fast-paced environment. Products analysis experience. Minimum Qualifications: A Bachelor’s or Master’s degree is required in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field. A minimum of 5 years of professional experience in data science, analytics, or a functionally equivalent role (either contract or full-time employment). Demonstrated proficiency in SQL and at least one high-level programming language (e.g., Python, R). Practical experience utilizing data visualization platforms (e.g., Tableau, Unidash, Metrics360). Exceptional communication skills, with the proven ability to articulate and present complex findings with clarity and precision. The capacity to operate autonomously and effectively manage competing priorities within a dynamic, high-velocity operational environment. Preferred Qualifications: Significant experience working with large-scale data infrastructure within technology or platform ecosystems. Familiarity with the proprietary internal data tools (e.g., Presto, Scuba, Hive). Previous professional engagement in a contractor or consulting capacity. Substantive knowledge of formal experimentation design principles and causal inference methodologies. Benefits: 401(k). Dental Insurance. Health insurance. Vision insurance. We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities: Participate in OP monthly team meetings and participate in team-building efforts. Contribute to OP technical discussions, peer reviews, etc. Contribute content and collaborate via the OP-Wiki/Knowledge Base. Provide status reports to OP Account Management as requested. About us: At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.

Are you passionate about shaping the future of data-driven solutions? We are on the lookout for a highly experienced Senior Data Engineer to lead the development of advanced analytic data solutions leveraging the power of GenAI. In this pivotal role, you'll collaborate with business and technology leaders to design, build, and optimize data pipelines that drive critical decision-making across the organization. If you have a proven track record in data engineering, a deep understanding of modern data platforms, and expertise in cloud architecture, SQL, Python, and containerization technologies, we want to hear from you. Come be a key player in transforming complex data challenges into innovative solutions in a fast-paced, collaborative environment. Responsibilities: You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and customer teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout, and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. Basic Qualifications: 7+ years of overall experience in a data engineering development capacity using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion. Experience translating project scope and high-level requirements into technical data engineering tasks. Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes. Experience with a variety of GenAI models, tools, and concepts. Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms. 3+ years using, designing, and building relational databases (preferably Snowflake or PostgreSQL). 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub. 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners, or UC4. Experience collaborating with multiple project teams in a fast-paced environment. Experience with defining and estimating level-of-effort data engineering activities. Experience with project and sprint planning. Ability to communicate technical concepts and solutions to non-technical team members. Experience designing and building data structures to support requirements. Multiple years of experience with ELT/ETL data pipeline development and maintenance. Multiple years of experience and expertise using SQL and Python. Experience using containerization technologies such as Docker or Kubernetes. Knowledgeable on cloud architecture and product offerings, preferably AWS. Preferred Qualifications: Experience collaborating with multiple project teams in a fast-paced environment. Experience with defining and estimating level-of-effort data engineering activities. Experience with project and sprint planning. Ability to communicate technical concepts and solutions to non-technical team members. Experience designing and building data structures to support requirements. Multiple years of experience with ELT/ETL data pipeline development and maintenance. Multiple years of experience and expertise using SQL and Python. Experience using containerization technologies such as Docker or Kubernetes. Knowledgeable on cloud architecture and product offerings, preferably AWS. Required Education: BA/BS Degree Comp Sci/IS or related field. Benefits: 401(k). Dental Insurance. Health insurance. Vision insurance. We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities: Participate in OP monthly team meetings and participate in team-building efforts. Contribute to OP technical discussions, peer reviews, etc. Contribute content and collaborate via the OP-Wiki/Knowledge Base. Provide status reports to OP Account Management as requested. About us: At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.

At OP, we consult for some of the most prestigious brands in the world. But more importantly, our consultants have a voice in the vision and future of the company. At OP, our focus is people. It’s right there in our name. We are seeking a highly skilled and experienced Lead Technical Product Manager to manage the product strategy and roadmaps for horizontal products that provide services and capabilities for multiple channels and vertical products. These products involve large and complex integrations involving system of record (SOR) data ranging from referential data at the definition level (e.g., product, pricing, accounting, itinerary, Guest/Cast/Crew) and/or transactional data (reservation, booking, payment, accounting record, registration) that will be utilized across channels and capabilities. The Lead Technical Product Manager collaborates with Experience (Digital) Product Managers to prioritize and create the technical product roadmap for their system, integrating business capabilities with the technical roadmap for the system. Product Strategy & Roadmap: Define and drive the product vision, strategy, and roadmap for technical products and platforms to include integration of business capabilities, technical currency, security. Prioritize features and technical enhancements based on business goals, customer needs, and technical feasibility. Collaborate with internal and external stakeholders to ensure currency with infrastructure, database, OS, authentication, and supporting tool life cycles and versioning. Ensure long-term scalability, performance, and security of technical solutions. Requirements Definition & Execution: Work closely with engineering teams to define, document, and refine technical requirements, including APIs, system integrations, and data pipelines. Create detailed user stories, technical specifications, and acceptance criteria for development teams. Own the backlog, ensuring well-defined priorities and trade-offs. Cross-functional collaboration & Stakeholder Management: Act as the primary liaison between engineering, leadership, and experienced product managers across multiple verticals and disciplines. Communicate technical concepts effectively to both technical and non-technical audiences. Partner with enterprise architects and platform teams to ensure alignment with broader technology initiatives. Execution & Delivery: Own key product KPIs, ensuring continuous monitoring and optimization. Drive Agile ceremonies, including sprint planning, backlog grooming, and retrospectives. Ensure timely and high-quality product releases, balancing speed, quality, and business impact. Facilitate post-launch analysis and iterate based on data-driven insights. Technical Leadership & Innovation Stay current with industry trends, emerging technologies, and best practices. Identify opportunities for automation, system efficiency, and improved developer experience – to include adoption of automation throughout the CICD and test delivery pipelines. Create the business case for technical investments that drive long-term business value. May provide oversight to contractors or junior resources executing the tactical delivery of the technical product roadmap across studios and working teams. Preferred Qualifications Experience with reservation systems, booking platforms, or travel industry APIs. Experience with B2B SaaS, enterprise platforms, or infrastructure products. Background in AI/ML, DevOps, cybersecurity, or data engineering. Experience leading cross-functional platform teams. Familiarity with compliance and regulatory requirements (e.g., SOX, PCI/PII, SOC2, GDPR). Required Education Bachelor’s Degree or equivalent experience. Basic Qualifications Experience: 7+ years in product management, with at least 3 years in a technical product management role. Technical Background: Strong understanding of software development, cloud platforms (AWS), containerization and orchestration platforms (Docker, Kubernetes, Rancher), APIs (SOAP, REST, JSON, Node.JS), microservices, and relational (Oracle, MariaDB) and/or NoSQL (MongoDB) data architectures. Prior experience as a software engineer, solutions architect, or technical analyst is highly preferred. Agile & SAFe Expertise: Hands-on experience leading Agile teams, working in Scrum/Kanban, and familiarity with SAFe methodologies. Analytical & Data-Driven Mindset: Strong ability to use data (KPIs, analytics, monitoring and alerting) to drive decision-making. Excellent Communication: Ability to convey complex technical concepts to non-technical audiences. Experience with executive-level reporting is a plus. Tools & Platforms: Experience with JIRA, SQL, API documentation tools (Postman, Swagger), cloud services, and analytics tools. Benefits: 401(k). Dental Insurance. Health insurance. Vision insurance. We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities: Participate in OP monthly team meetings, and participate in team-building efforts. Contribute to OP technical discussions, peer reviews, etc. Contribute content and collaborate via the OP-Wiki/Knowledge Base. Provide status reports to OP Account Management as requested. About us: OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields — including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.

Are you passionate about shaping the future of data-driven solutions? We are on the lookout for a highly experienced Senior Data Engineer to lead the development of advanced analytic data solutions leveraging the power of GenAI. In this pivotal role, youll collaborate with business and technology leaders to design, build, and optimize data pipelines that drive critical decision-making across the organization. If you have a proven track record in data engineering, a deep understanding of modern data platforms, and expertise in cloud architecture, SQL, Python, and containerization technologies, we want to hear from you. Come be a key player in transforming complex data challenges into innovative solutions in a fast-paced, collaborative environment. 
Responsibilities: <ul><li>You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. </li><li>You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the company in order to design and deliver the data pipelines necessary for our solutions. </li><li>You will partner with the Decision Science Products, Decision Science, and customer teams on critical projects. </li><li>Other activities include planning, estimating, design, development, testing, production rollout, and sustainment activities. </li><li>You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. </li></ul>Basic Qualifications: <ul><li>7+ years of overall experience in a data engineering development capacity using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion. </li><li>Experience translating project scope and high-level requirements into technical data engineering tasks. </li><li>Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes. </li><li>Experience with a variety of GenAI models, tools, and concepts. </li><li>Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms. </li><li>3+ years using, designing, and building relational databases (preferably Snowflake or PostgreSQL). </li><li>3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub. </li><li>2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners, or UC4. </li><li>Experience collaborating with multiple project teams in a fast-paced environment. </li><li>Experience with defining and estimating level-of-effort data engineering activities. </li><li>Experience with project and sprint planning. </li><li>Ability to communicate technical concepts and solutions to non-technical team members. </li><li>Experience designing and building data structures to support requirements. </li><li>Multiple years of experience with ELT/ETL data pipeline development and maintenance. </li><li>Multiple years of experience and expertise using SQL and Python. </li><li>Experience using containerization technologies such as Docker or Kubernetes. </li><li>Knowledgeable on cloud architecture and product offerings, preferably AWS. </li></ul>Preferred Qualifications: <ul><li>Experience collaborating with multiple project teams in a fast-paced environment. </li><li>Experience with defining and estimating level-of-effort data engineering activities. </li><li>Experience with project and sprint planning. </li><li>Ability to communicate technical concepts and solutions to non-technical team members. </li><li>Experience designing and building data structures to support requirements. </li><li>Multiple years of experience with ELT/ETL data pipeline development and maintenance. </li><li>Multiple years of experience and expertise using SQL and Python. </li><li>Experience using containerization technologies such as Docker or Kubernetes. </li><li>Knowledgeable on cloud architecture and product offerings, preferably AWS. </li></ul>Required Education: <ul><li>BA/BS Degree Comp Sci/IS or related field. </li></ul>Benefits: <ul><li>401(k). </li><li>Dental Insurance. </li><li>Health insurance. </li><li>Vision insurance. </li><li>We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. </li><li>The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. </li></ul>Additional Responsibilities: <ul><li>Participate in OP monthly team meetings and participate in team-building efforts. </li><li>Contribute to OP technical discussions, peer reviews, etc. </li><li>Contribute content and collaborate via the OP-Wiki/Knowledge Base. </li><li>Provide status reports to OP Account Management as requested. </li></ul>About us: 
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, weve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward. 
PDN-a0fe87f9-06bc-400f-80b2-fe239a4df9cc

Join our dynamic team as a seasoned Data Scientist, driving strategic initiatives across the social ecosystem. This role is perfect for a data scientist with exceptional analytical expertise, extensive experience navigating large-scale data environments, and a passion for transforming insights into impactful outcomes. Elevate our data-driven decision-making with your expertise and make a meaningful difference in a fast-paced, innovative environment. Responsibilities: <ul><li>Data Analysis & Modeling: 
 <ul> <li>Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to the ecosystem (products, partners, platforms, and user interactions). </li></ul> </li><li>Metric Development: 
 <ul> <li>Design, implement, and meticulously maintain critical metrics to measure ecosystem health, growth, and engagement accurately. </li></ul> </li><li>Experimentation: 
 <ul> <li>Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies. </li></ul> </li><li>Stakeholder Collaboration: 
 <ul> <li>Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making. </li></ul> </li><li>Reporting & Visualization: 
 <ul> <li>Construct sophisticated dashboards and detailed reports to communicate findings to both technical and non-technical stakeholders effectively. </li></ul> </li><li>Ad Hoc Analysis: 
 <ul> <li>Provide timely, high-quality analytical responses to urgent business inquiries. </li></ul> </li></ul>Ideal candidate profile: <ul><li>Minimum 5 years of data science experience (SQL, Python/R). </li><li>Strong analytical & modeling skills. </li><li>Skilled in data visualization (Tableau, Unidash, Metrics360). </li><li>Excellent communicator & collaborator. </li><li>Experience with large-scale datasets. </li><li>Able to work independently, fast-paced environment. </li><li>Products analysis experience. </li></ul>Minimum Qualifications: <ul><li>A Bachelors or Masters degree is required in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field. </li><li>A minimum of 5 years of professional experience in data science, analytics, or a functionally equivalent role (either contract or full-time employment). </li><li>Demonstrated proficiency in SQL and at least one high-level programming language (e.g., Python, R). </li><li>Practical experience utilizing data visualization platforms (e.g., Tableau, Unidash, Metrics360). </li><li>Exceptional communication skills, with the proven ability to articulate and present complex findings with clarity and precision. </li><li>The capacity to operate autonomously and effectively manage competing priorities within a dynamic, high-velocity operational environment. </li></ul>Preferred Qualifications: <ul><li>Significant experience working with large-scale data infrastructure within technology or platform ecosystems. </li><li>Familiarity with the proprietary internal data tools (e.g., Presto, Scuba, Hive). </li><li>Previous professional engagement in a contractor or consulting capacity. </li><li>Substantive knowledge of formal experimentation design principles and causal inference methodologies. </li></ul>Benefits: <ul><li>401(k). </li><li>Dental Insurance. </li><li>Health insurance. </li><li>Vision insurance. </li><li>We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. </li><li>The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. </li></ul>Additional Responsibilities: <ul><li>Participate in OP monthly team meetings and participate in team-building efforts. </li><li>Contribute to OP technical discussions, peer reviews, etc. </li><li>Contribute content and collaborate via the OP-Wiki/Knowledge Base. </li><li>Provide status reports to OP Account Management as requested. </li></ul>About us: 
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, weve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward. 
PDN-a0fe87f9-a7e9-4472-8c71-d1c5b8dc6192

We are excited to announce an opportunity for a highly skilled Data Scientist to join our innovative team. In this pivotal role, youll harness your expertise to unlock insights from complex, high-dimensional datasets through advanced exploratory data analysis. Your work will directly impact the future of biosensor technology, guiding research and development efforts in cutting-edge biosensing solutions. If youre passionate about transforming data into breakthrough innovations, we want to hear from you. 
Job Responsibilities: <ul><li>Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets. </li><li>Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement. </li><li>Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data. </li><li>Generate and test hypotheses and analyze and interpret the results of product experiments. </li><li>Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. </li><li>Leverage data visualization to help the team make decisions about future R&D directions. </li></ul>Skills: <ul><li>Experience with hardware sensors and data analysis of real-world data. </li><li>Experience with signal processing of time domain signals and/or medical imaging systems. </li><li>Experience presenting findings from statistical and machine learning methods to diverse audiences. </li><li>Experience working with large datasets. </li><li>3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL. </li><li>Proficiency in data structures and algorithms. </li><li>Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, and caret. </li><li>Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, and ggplot2. </li></ul>Education/Experience: <ul><li>Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field. </li></ul>Benefits: <ul><li>401(k). </li><li>Dental Insurance. </li><li>Health insurance. </li><li>Vision insurance. </li><li>We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. </li><li>The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. </li></ul>Additional Responsibilities: <ul><li>Participate in OP monthly team meetings and participate in team-building efforts. </li><li>Contribute to OP technical discussions, peer reviews, etc. </li><li>Contribute content and collaborate via the OP-Wiki/Knowledge Base. </li><li>Provide status reports to OP Account Management as requested. </li></ul>About us: 
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, weve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward. 
PDN-a0fe87f9-2c6f-404a-bcbd-a85673fac354

Are you a data-driven marketing expert with advanced SQL skills and deep expertise in Salesforce Data Cloud? Were on the hunt for a seasoned professional to lead the charge in transforming our audience segmentation capabilities. In this pivotal role, you will craft sophisticated audience signals, develop intricate segments within Salesforce Data Cloud, and collaborate closely with data engineers to build resilient data pipelines that power innovative marketing campaigns reaching millions of customers. If you thrive in a fast-paced environment and are passionate about leveraging data to drive impactful marketing strategies, we want to hear from you! 
Key Responsibilities: <ul><li>Build and maintain audience segments in Salesforce Data Cloud, including signal identification, Calculated Insights (SQL), and activation to SFMC. </li><li>Partner with Data Engineers to design and build data pipelines that feed marketing, reporting and audience systems. </li><li>Develop automated reporting solutions and self-service dashboards to track campaign performance and marketing KPIs. </li><li>Pull, clean, and analyze large datasets (millions of records) to deliver audience strategy, segmentation, and revenue opportunity sizing. </li><li>Ensure data quality and troubleshoot data discrepancies across the audience and reporting systems. </li><li>Translate business requirements into technical audience definitions and partner with campaign managers on complex builds. </li></ul>Required Qualifications: <ul><li>Minimum 7 years of experience in marketing analytics, data engineering, data science, or a related analytics role. </li><li>Expert-level SQL skills: complex queries, CTEs, window functions, query optimization, and working with large datasets (millions of records). </li><li>Hands-on experience with Salesforce Data Cloud (or similar CDPs), including segment creation, Calculated Insights, and activation workflows. </li><li>Experience building audience signals and audience segments for marketing campaigns. </li><li>Proven experience partnering with Data Engineers to build and maintain data pipelines. </li><li>Strong experience with report automation: scheduled reports, automated data refreshes, and self-service dashboards. </li><li>Proficiency in data visualization tools such as Tableau, Hive, or similar. </li><li>Advanced Google Sheets/Excel skills. </li><li>Basic Python skills for automation and API utilization. </li><li>Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders. </li></ul>Preferred Qualifications: <ul><li>Experience with Salesforce Marketing Cloud (SFMC) and marketing automation workflows. </li><li>Familiarity with CRM data structures and account-level data models. </li><li>Background in B2B marketing analytics. </li></ul>Benefits: <ul><li>401(k). </li><li>Dental Insurance. </li><li>Health insurance. </li><li>Vision insurance. </li><li>We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. </li><li>The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. </li></ul>Additional Responsibilities: <ul><li>Participate in OP monthly team meetings and participate in team-building efforts. </li><li>Contribute to OP technical discussions, peer reviews, etc. </li><li>Contribute content and collaborate via the OP-Wiki/Knowledge Base. </li><li>Provide status reports to OP Account Management as requested. </li></ul>About us: 
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, weve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward. 
PDN-a1069434-dba2-499f-bb82-83f441ca97f2

At OP, we consult for some of the most prestigious brands in the world. But more importantly, our consultants have a voice in the vision and future of the company. At OP, our focus is people. Its right there in our name. We are seeking a highly skilled and experienced Lead Technical Product Manager to manage the product strategy and roadmaps for horizontal products that provide services and capabilities for multiple channels and vertical products. These products involve large and complex integrations involving system of record (SOR) data ranging from referential data at the definition level (e.g., product, pricing, accounting, itinerary, Guest/Cast/Crew) and/or transactional data (reservation, booking, payment, accounting record, registration) that will be utilized across channels and capabilities. The Lead Technical Product Manager collaborates with Experience (Digital) Product Managers to prioritize and create the technical product roadmap for their system, integrating business capabilities with the technical roadmap for the system. 
Product Strategy & Roadmap: <ul><li>Define and drive the product vision, strategy, and roadmap for technical products and platforms to include integration of business capabilities, technical currency, security. </li><li>Prioritize features and technical enhancements based on business goals, customer needs, and technical feasibility. </li><li>Collaborate with internal and external stakeholders to ensure currency with infrastructure, database, OS, authentication, and supporting tool life cycles and versioning. </li><li>Ensure long-term scalability, performance, and security of technical solutions. </li></ul>Requirements Definition & Execution: <ul><li>Work closely with engineering teams to define, document, and refine technical requirements, including APIs, system integrations, and data pipelines. </li><li>Create detailed user stories, technical specifications, and acceptance criteria for development teams. </li><li>Own the backlog, ensuring well-defined priorities and trade-offs. </li></ul>Cross-functional collaboration & Stakeholder Management: <ul><li>Act as the primary liaison between engineering, leadership, and experienced product managers across multiple verticals and disciplines. </li><li>Communicate technical concepts effectively to both technical and non-technical audiences. </li><li>Partner with enterprise architects and platform teams to ensure alignment with broader technology initiatives. </li></ul>Execution & Delivery: <ul><li>Own key product KPIs, ensuring continuous monitoring and optimization. </li><li>Drive Agile ceremonies, including sprint planning, backlog grooming, and retrospectives. </li><li>Ensure timely and high-quality product releases, balancing speed, quality, and business impact. </li><li>Facilitate post-launch analysis and iterate based on data-driven insights. </li></ul>Technical Leadership & Innovation <ul><li>Stay current with industry trends, emerging technologies, and best practices. </li><li>Identify opportunities for automation, system efficiency, and improved developer experience - to include adoption of automation throughout the CICD and test delivery pipelines. </li><li>Create the business case for technical investments that drive long-term business value. </li><li>May provide oversight to contractors or junior resources executing the tactical delivery of the technical product roadmap across studios and working teams. </li></ul>Preferred Qualifications <ul><li>Experience with reservation systems, booking platforms, or travel industry APIs. </li><li>Experience with B2B SaaS, enterprise platforms, or infrastructure products. </li><li>Background in AI/ML, DevOps, cybersecurity, or data engineering. </li><li>Experience leading cross-functional platform teams. </li><li>Familiarity with compliance and regulatory requirements (e.g., SOX, PCI/PII, SOC2, GDPR). </li></ul>Required Education <ul><li>Bachelors Degree or equivalent experience. </li></ul> Basic Qualifications <ul><li>Experience: 7+ years in product management, with at least 3 years in a technical product management role. </li><li>Technical Background: Strong understanding of software development, cloud platforms (AWS), containerization and orchestration platforms (Docker, Kubernetes, Rancher), APIs (SOAP, REST, JSON, Node.JS), microservices, and relational (Oracle, MariaDB) and/or NoSQL (MongoDB) data architectures. Prior experience as a software engineer, solutions architect, or technical analyst is highly preferred. </li><li>Agile & SAFe Expertise: Hands-on experience leading Agile teams, working in Scrum/Kanban, and familiarity with SAFe methodologies. </li><li>Analytical & Data-Driven Mindset: Strong ability to use data (KPIs, analytics, monitoring and alerting) to drive decision-making. </li><li>Excellent Communication: Ability to convey complex technical concepts to non-technical audiences. Experience with executive-level reporting is a plus. </li><li>Tools & Platforms: Experience with JIRA, SQL, API documentation tools (Postman, Swagger), cloud services, and analytics tools. </li></ul>Benefits: <ul><li>401(k). </li><li>Dental Insurance. </li><li>Health insurance. </li><li>Vision insurance. </li><li>We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. </li><li>The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. </li></ul>Additional Responsibilities: <ul><li>Participate in OP monthly team meetings, and participate in team-building efforts. </li><li>Contribute to OP technical discussions, peer reviews, etc. </li><li>Contribute content and collaborate via the OP-Wiki/Knowledge Base. </li><li>Provide status reports to OP Account Management as requested. </li></ul> About us: 
OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields - including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology. 
PDN-a0fe87fa-f673-43d4-ae41-0974a8a7c8db

Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard

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