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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

Staff Data ScientistDirect HireOnsite @ 805 Se Moberly Ln, Bentonville, AR 72712 Position Summary.Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, U.S. offers an extensive selection that our customers value, whether they shop online at ecommerce website, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you’ll do:<ul><li>Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast.</li><li>Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting.</li><li>Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts.</li><li>Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions.</li><li>Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines.</li><li>Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray).</li><li>Act as technical lead on multiple projects, balancing research rigor with business delivery.</li></ul> What you’ll bring:<ul><li>Strong foundation in Time Series Forecasting, Causal Inference, Statistical Analysis, and advanced Machine Learning methods</li><li>Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios.</li><li>Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions.</li><li>Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries.</li><li>Experience deploying ML systems at scale on cloud platforms (GCP/Azure).</li></ul> Great to have:<ul><li>Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods).</li><li>Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring.</li><li>Background in retail, e-commerce, or operations analytics.</li></ul> Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Minimum Qualifications.Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following accessibility standards and guidelines for supporting an inclusive culture. About US Tech Solutions:US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity,national origin, disability, or status as a protected veteran. Recruiter Details:Name: Adil SaifiEmail: adil@ustechsolutionsinc.comInternal Id: 25-53396

Duration: 12 months contract Job Description:<ul><li>We are seeking a highly skilled Remote Sensing Data Scientist with deep expertise in remote sensing principles, machine learning, deep learning, geospatial analytics, and image processing to join our dynamic team. The ideal candidate has a proven track record working with remote sensing data (satellite, aerial imagery) and can translate imagery into actionable insights through advanced modeling techniques.</li><li>In this role, you will collaborate with scientists across multiple disciplines—as well as IT, engineering, and product teams—to deliver innovative analytics that directly drive data informed decision making within customer operations. informed decision making within customer operations.</li></ul> Responsibilities:<ul><li>Apply foundations of remote sensing and advanced techniques in image analysis, geospatial analytics, machine learning, and deep learning to extract insights from complex imagery datasets (e.g., multispectral, hyperspectral, SAR).</li><li>Build, validate, and operationalize predictive and prescriptive analytics solutions that enhance efficiency, reliability, and decision making across agricultural operations.</li><li>Design and implement pipelines for imagery ingestion, preprocessing, feature extraction, and model deployment at scale.</li><li>Write comprehensive model documentation, including problem framing, data requirements, modeling approach, validation, and operationalization.</li><li>Adhere to data science best practices—peer review, code review, reproducibility, and version control.</li><li>Collaboration & Communication</li><li>Partner closely with agronomic scientists, biologists, field operations teams, and digital product teams to co develop remote sensing solutions aligned with business needs.</li><li>Collaborate with customer global Data Science community to leverage shared tools, platforms, and modeling frameworks.</li><li>Communicate complex technical concepts, model performance, and insights to stakeholders clearly and effectively.</li></ul> Experience:<ul><li>Agriculture & Agronomy Background: Foundational understanding of agricultural systems, crop development, field operations, and agronomic principles. Ability to contextualize remote sensing insights within agronomic workflows (e.g., crop health diagnostics, field variability, environmental influences). Experience collaborating with agronomists or applying remote sensing to real world agricultural challenges is highly beneficial.</li><li>Cloud & Engineering Skills: Experience with cloud platforms (AWS, Azure, or GCP) for scalable data processing and deployment.</li><li>Programming Skills: Proficiency in Python and common ML/DL libraries (TensorFlow, PyTorch, OpenCV, scikit learn). Experience with SQL for querying, transforming, and managing structured datasets. Strong coding discipline, including maintainable code, testing, version control (GitHub), and reproducible workflows. Familiary with AI assisted coding tools and technologies for rapid prototyping.</li><li>Soft Skills: High sense of ownership, curiosity, and motivation to deliver impactful analytic. Ability to explain technical findings to non technical audiences. Strong collaboration and communication skills across diverse functional teams.</li></ul> Skills:<ul><li>Imagery & Remote Sensing Expertise: Hands-on experience working with remote sensing datasets. Strong knowledge of image processing techniques (e.g., atmospheric correction, orthorectification, segmentation, and feature extraction). Experience with geospatial tools (e.g., GDAL, Rasterio, GeoPandas) and working with spatial data formats.</li><li>Machine Learning & Deep Learning: Proficiency in applying ML/DL methods to imagery: CNNs, semantic segmentation, object detection, time series modeling, usage of foundational models. Strong understanding of statistical concepts, model evaluation, and uncertainty quantification.</li></ul> Education:<ul><li>Ph.D. or M.S. (with 4+ years of experience) in Remote Sensing, Geospatial Science, Data Science, Agronomy, Imagery & Robotics, or related fields.</li></ul> About US Tech Solutions:US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit <a>www.ustechsolutions.com</a> .US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details:Name: JoeEmail: joe@ustechsolutions.comInternal Id: 26-04164

A global staff augmentation firm is seeking a Financial Analyst for a 03+ month contract in Chicago. The role involves consolidating monthly reporting processes and preparing analysis of manufacturing P&L. Candidates should hold a Bachelors degree in Finance or Accounting and have over 4 years of experience. Proficiency in Excel and knowledge of BPC, SAP, and PowerBI are preferred. Join us to drive process improvements in a dynamic environment. #J-18808-Ljbffr

Duration: 11+ Months contract, Potential with long term Employment Type: W-2 We are seeking a highly skilled and motivated Senior Website Data Analyst who excels in analyzing website data, providing optimization recommendations, identifying opportunities for improvement, understanding business goals, and effectively communicating data-driven narratives. The ideal candidate will have a strong background in web analytics, testing and optimization techniques, business acumen, and storytelling. Top 3-5 skills, experience or education required 1. Business acumen – ability to understand marketing and business priorities and provide insight to support 2. Expertise with Abobe analytics, including CJA, Consumer Journey Analytics and web site analysis 3. Client facing – strong presentation skills and communication skills 4. Ability to understand the details, but speak with strong presence and make complicated data simple and easy to understand 5. cross function, matrix, highly collaborative team player – this is an independent role to support enterprise-wide website analysis who must be highly collaborative and take joy in working with others and being an excellent partner to many Responsibilities: 1. Website data analysis: Analyze and interpret website data using Adobe Analytics and Customer Journey Analytics (CJA), . Evaluate key performance indicators and metrics to evaluate website performance, user behavior, and conversion rates. 2. Optimization strategies: Utilize website data analysis to identify areas for improvement and optimization. Develop data-driven strategies and recommendations to enhance website usability, user experience, and conversion rates. 3. Opportunity identification: Proactively identify opportunities for website optimization and improvement based on data analysis. Conduct thorough analysis of user journeys, landing pages, conversion funnels, and other relevant website elements to uncover areas of potential growth and enhancement. 4. Business understanding: Collaborate with stakeholders, including web team, marketing, product, and design teams, to understand business goals, objectives, and challenges. Translate business requirements into actionable insights and recommendations that align with the overall business strategy. 5. Storytelling through data: Translate complex website data into compelling narratives that effectively communicate insights and recommendations to stakeholders. Present findings in a clear, concise, and visually appealing manner, using data visualization tools and storytelling techniques to engage and influence decision-makers. 6. Testing and experimentation: Design and implement A/B tests and experiments to evaluate the impact of website changes and optimization strategies using Adobe Target. Analyze test results to determine statistical significance and the effectiveness of the test results and provide recommendations for further optimization. 7. Conversion rate optimization (CRO): Collaborate with marketing and UX teams to improve website conversion rates. Analyze user behavior, conversion funnels, and other relevant data to identify barriers and opportunities for optimization. Develop CRO strategies and recommendations based on data insights. 8. Data quality and governance: Ensure the accuracy and reliability of website data by implementing data quality checks and adhering to data governance policies and best practices. Identify and address data quality issues that may impact the accuracy of analysis results. 9. Continuous learning and improvement: Stay up-to-date with the latest web analytics tools, testing and optimization techniques, storytelling approaches, and industry trends. Seek opportunities for professional development and actively contribute to the enhancement of website data analysis capabilities within the organization. Qualifications: Strong analytical and problem-solving skills, with a proven track record of analyzing website data and deriving actionable insights. Proficiency in web analytics tools such as Adobe Analytics, CJA, and Target. Experience with data visualization tools (e.g., Adobe Workspace, Tableau, Power BI) to create visually appealing and informative dashboards and reports. Excellent communication and storytelling skills, with the ability to effectively convey complex website data analysis concepts to non-technical stakeholders. Knowledge of optimization techniques and methodologies, such as A/B testing, multivariate testing, and personalization recommendations. Understanding of website usability, user experience (UX), and conversion rate optimization (CRO) principles. Business acumen and the ability to understand and align website optimization strategies with overall business goals and objectives. Strong project management skills, with the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously. Bachelor's degree in a relevant field (e.g., marketing, statistics, computer science) or equivalent work experience. Adobe Analytics, CJA and/or Target Certification a plus Minimum of 5 years’ experience. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are seeking a highly analytical and detail-oriented Media & Website Contract Analyst to join our team. Responsibilities: <ul> <li>Collect, compile, and analyze data from digital media campaigns including banners, email, and other channels to bring structure and prioritization to a broad set of data </li><li>Analyze and interpret website traffic and user behavior using tools such as Google Analytics and Adobe Analytics. </li><li>Develop and deliver data-driven marketing presentations, providing insights, trends, and actionable recommendations between media performance data and website interactions against strategic marketing goals </li><li>Collaborate with media, search, and social teams to produce integrated performance reports. </li><li>Identify opportunities for optimization across digital channels </li><li>Clearly communicate complex findings to both technical and non-technical audiences. </li><li>Stay current with digital marketing KPIs and implications of emerging technologies when providing clients insight in their marketing efforts </li><li>Effectively communicate results through compelling visuals and easy-to-track insights and recommendations </li><li>Transform and submit performance data to internal databases using Tableau Prep Builder </li><li>Coordinate with stakeholders to secure creative, create tagged URLs, and hand off display banner placements to vendors for deployment with Campaign Manager 360 </li></ul> Qualifications: <ul> <li>Bachelors degree in marketing, analytics, business, or a related field. </li><li>4-6 years of relevant experience; pharmaceutical industry experience preferred. </li><li>Proficiency with Google Analytics, Adobe Analytics, Tableau, and Google Campaign Manager 360. </li><li>Strong analytical and data interpretation skills. </li><li>Experience integrating web and email data into strategic marketing presentations. </li><li>Excellent presentation, communication, and client service skills. We are trusted advisors for our clients and collaborate widely across and outside our organization. </li><li>A positive and friendly attitude </li><li>Ability to collaborate cross-functionally with clients, account services, subject matter experts such as search and social, and other teams in an agency environment. </li><li>Demonstrated the ability to work independently, adapt to changing project priorities and evolving situations, and is self-motivated to drive projects to successful completion </li></ul> Additional skills (not required): <ul> <li>Experience with UX, SEO, Tableau, and dashboard development. </li><li>Familiarity with data visualization and reporting best practices. </li></ul> About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

Contract Duration: 24+ months with long term potential Job Summary: Research Analyst II - Global Material and Parenteral Packaging Sciences.We are seeking a skilled Scientist to join our Global Material and Parenteral Packaging Science team, a core component of Product Development Science & Technology (PDS&T).The candidate will help drive the development of Container Closure Systems (CCS) for Client parenteral and biotechnological products (NBEs), supporting the advancement of some of Client’s most strategic pipeline assets, including monoclonal antibodies, antibody-drug conjugates, and therapeutic toxins.In this role, you will leverage your expertise in characterizing CCS - encompassing vials, prefilled syringes, and prefilled cartridges with a strong focus on Container Closure Integrity (CCI) and process capability.Your responsibilities will include conducting performance analyses using force analyzers, developing and validating analytical methods, providing technical support for CCS and process qualification in pharmaceutical manufacturing, and evaluating and implementing cutting-edge techniques. Responsibility: <ul><li>Preparation, execution and evaluation of experiments for development of container closure systems of new parenteral drug products, namely drug preparations of biotechnological drugs in vials, pre-filled syringes and cartridges as well as lyophilizates. </li><li>Technical evaluation and implementation of CCI and process methods as well as continuous improvement based on a holistic CCI strategy and current regulatory requirements. </li><li>Responsibility for maintaining lab equipment. Ensure required maintenance schedule, proper documentation, and training. </li><li>Technical support of the landscaping programs for innovative CCS, including implementation and characterization based on various CCI techniques. </li><li>Collaborations with Client partner labs and/or external labs and manufacturing sites. </li><li>Coordination of suppliers for materials, equipment, and services needed to perform work. </li><li>Documentation of all work according to applicable GxP and internal procedural requirements. </li><li>Authoring comprehensive, scientifically sound reports, e.g. lab reports, development reports or risk assessments that could serve as source documents for authority submissions. </li><li>Compliance with all relevant work safety requirements. </li></ul> Qualifications: <ul><li>Degree from an accredited University in pharmacy/biology/biotechnology/chemistry/process engineering/material sciences/physics or related areas. </li><li>Bachelor’s Degree or equivalent education with typically 2 or more years of experience, or Master’s Degree </li><li>Good technical and scientific understanding of parenteral drug product development and CCI test methods. </li><li>Understanding of relevant scientific literature and ability to apply theoretical framework to solving problems within their scientific discipline in a timely manner. </li><li>Ability to work concurrently on multiple projects, work in teams, and manage priority conflicts. </li><li>Good verbal and written communication skills. </li><li>Ability to establish comprehensive scientific and project related documentation. </li><li>Strong motivation and proactive approach to lab responsibilities.</li></ul> About US Tech Solutions:US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit <a>www.ustechsolutions.com</a>.US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job ID: 26-03000Recruiter's Name: Vijay SinhgRecruiter's Email: vijay.s@ustechsolutionsinc.com

Get AI-powered advice on this job and more exclusive features. This range is provided by US Tech Solutions. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. <h5>Base pay range </h5>$75.00/hr - $100.00/hr Direct message the job poster from US Tech Solutions <h5>Responsibilities </h5> <ul><li>Research and prototype risk model for equities and crypto-related ETFs. </li><li>Extend the scope for the Hybrid VaR as a benchmark for existing VaR methodology. </li><li>Assist the NSCC Stress Testing model performance reporting and monitoring. </li><li>Maintain and update model documentation. </li><li>Facilitate model specification and communication with stakeholders such as Market Risk and Risk Technology team. </li> </ul><h5>Qualifications </h5><ul><li>5 years of experience in financial market risk management and quantitative modeling. </li><li>Proficient in SQL, and other high?level programming languages such as R, Python, MATLAB is a plus. </li><li>Hands on experience developing complex financial models. </li><li>Solid equity production knowledge, especially equities and ETFs. </li><li>Detail oriented and team player. </li> </ul> <h5>About US Tech Solutions </h5>US Tech Solutions is a global staff augmentation firm providing a wide range of talent on?demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. <h5>Recruiter Details </h5>Seniority level: Not Applicable. Employment type: Contract. Job function: Information Technology. Industries: Financial Services and Banking. #J-18808-Ljbffr

Duration: 03 Month Contract Job Descriptions: Support for analyzing capability of processes and activities (tracking, performance standards, conformity and compliance). Work closely with project managers to gather and analyze attribute and process statistical data. Work closely with project administrator confirming conformance and compliance with respect to predefined internal client format. Document and track deviations from standard setups, root cause, corrective action plan, closure. Capture and publish action items and meeting minutes from run to standard governance meeting; support document audits and updates and writing of new documents as necessary. Experience: 2 years of experience Strong experience in Microsoft Office Experience in SAP and PowerBI - Nice To have Education: High School Diploma. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

<h5>Job Description </h5>As a wmA Business Analyst Lead , you will play a pivotal role in driving large-scale migration, conversion, and modernization initiatives for one of our major insurance clients. You will serve as a trusted advisor , collaborating directly with stakeholders to analyze business needs, define requirements, and design robust solutions that align with their digital transformation strategies. This role demands deep expertise in life insurance , particularly Universal Life and Traditional Life products, along with a strong background in Vantage/wmA (Wealth Management Accelerator) . You will be responsible for conducting gap analysis, leading complex conversions, and ensuring seamless integrations across legacy and modern platforms. <h5>Key Responsibilities </h5> <ul><li>Lead client engagements , facilitating discussions to identify business requirements, assess gaps, and define the scope of large-scale system migrations and conversions. </li><li> Own the end-to-end business analysis process , from requirement gathering to solution design, ensuring alignment with insurance business operations and regulatory requirements. </li><li> Conduct deep-dive assessments of existing insurance product configurations, identifying opportunities for process improvements and enhancements. </li><li> Drive the migration strategy by analyzing data mapping requirements, conversion methodologies, and integration approaches. </li><li> Provide subject matter expertise in Vantage/wmA , including TRAD product configurations, Product Wizard / AVM , and conversion processes. </li><li> Develop data models, process flows, and system requirements , ensuring scalability and efficiency in transformed business processes. </li><li> Lead the development of test strategies and validate system performance , ensuring compliance with client expectations and industry best practices. </li><li> Collaborate with cross-functional teams , including architects, developers, and QA analysts, to implement solutions effectively. </li><li> Provide ongoing advisory support to client leadership, offering strategic insights for continuous optimization. </li> </ul><h5>Required Skills & Experience </h5><ul><li>8+ years of experience as a Business Analyst in the life insurance domain, with a strong focus on Universal Life and Traditional Life products. </li><li> Extensive hands-on experience with Vantage/wmA (Wealth Management Accelerator) is mandatory. </li><li> Proven track record in leading large-scale migration and conversion projects in an insurance environment. </li><li> Deep expertise in TRAD product configuration, Product Wizard / AVM, and data conversion methodologies . </li><li> Experience in building out Product Wizard tables and configuring product rules from scratch. </li><li> Knowledge of AVM or OSI ancillary systems related to wmA, as well as practical use cases. </li><li> Strong familiarity with conversion strategies, gap analysis, and legacy-to-modern platform transitions . </li><li> Experience working with mainframe technologies and their integration with modern systems is a plus. </li><li> Solid understanding of indexed product structures, policy administration, and compliance considerations . </li><li> Ability to create and execute test plans , ensuring the accuracy of system configurations and data migrations. </li> </ul><h5>Qualifications </h5><ul><li>Bachelors or Masters degree in Business Administration, Information Systems, or a related field. </li><li> Experience with large-scale system modernization initiatives in the insurance sector. </li><li> Strong proficiency in business process optimization and digital transformation methodologies . </li><li> Advanced stakeholder management skills , with the ability to drive discussions at executive levels . </li> </ul><h5>Work Environment & Expectations </h5><ul><li>The selected candidate may be required to report to the nearest CLIENTs office based on business needs. </li><li> Flexibility to collaborate with offshore teams in different time zones (including India) for critical business activities. </li> </ul> <h5>About US Tech Solutions </h5>US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

A global staff augmentation firm is seeking a Marketing Data Science Associate to analyze marketing effectiveness and optimize strategies. This role involves working with various data sets, developing measurement methodologies, and collaborating with teams to ensure accurate business insights. Ideal candidates will have a BA/BS degree and experience in data science or analytics, along with strong skills in marketing data science and analytics. This position is based in New York, NY and offers the chance to work in a dynamic environment. #J-18808-Ljbffr

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