The HEB Data Scientist interview guide, interview questions, salary data, and interview experiences.

HEB Data Scientist Interview Guide

Getting ready for an Data Scientist interview at HEB? The HEB Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for HEB Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at HEB.</li>
<li>Practice real HEB Data Scientist interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the HEB Data Scientist interview.


Getting ready for an Data Scientist interview at HEB? The HEB Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for HEB Data Scientist roles.
- Gain insights into the Data Scientist interview process at HEB.
- Practice real HEB Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the HEB Data Scientist interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

HEB Data Scientist Interview Process

You work as a data scientist for a grocery store chain that has a mobile app. At the end of the checkout process on the app, users are presented with an up-sell carousel, a sliding display of items that users can scroll/swipe to view and add to their cart. Currently, the carousel only presents items from the store’s personal brand.

How would you determine whether the carousel should replace store-brand items with national-brand products of the same type?

How would you determine whether the carousel should replace store-brand items with national-brand products of the same type?

Upsell Carousel

A/B Testing & Experimentation

You are given an array of numerical values, bootstrap samples, and size for a confidence interval.

Write a function that performs bootstrap sampling on the given array and calculates the confidence interval based on the given size.

Note: The function should return a tuple containing the minimum and maximum values of the confidence interval rounded to the tenths place.

Example

Input:

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

Output

<pre tabindex="0" class="chroma"><code>bootstrap_conf_interval(values, 1000, 0.95) -&gt; (1.2, 4.8)
</code></pre>

In this case, the function returns a tuple indicating that we are 95% confident that the population parameter lies between 1.2 and 4.8 based on our bootstrap samples.

Note: Results may vary due to the randomness of bootstrap sampling.

Write a function to bootstrap the confidence interface for a list of integers

Bootstrapping Confidence Intervals

Let’s say you’ve just started as the operations manager at Lyft, and the CEO has asked you to design a dashboard for weekly leadership meetings. The company is facing increased competition in major cities, and there’s concern about both driver retention and rider wait times. This week, marketing is launching a $2M campaign to boost new rider signups in these cities.

Given limited dashboard space, what specific metrics and visualizations would you include?

Which metrics and visualizations would you prioritize for a CEO-facing dashboard during a major rider acquisition campaign?

Lyft Ops Dashboard

Data Visualization & Dashboarding

HEB Data Scientist Interview Questions

<div><h2>Business Analyst I</h2>Responsibilities As a Business Analyst I on a Product Team, you'll perform research work, product analytics, and business analysis to support product strategy, roadmap decisions, and deliver outcomes. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and customer service. Partner-owned means our most important resources--people--drive the innovation, growth, and success that makes H-E-B The Greatest Retailing Company. Do you have a: HEART FOR PEOPLE... interpersonal and influencing skills? HEAD FOR BUSINESS... analytical mindset and the ability to communicate findings? PASSION FOR RESULTS... drive to produce work that impacts decisions and results?We are looking for:<ul><li>a related degree or comparable formal training, certification, or work experience</li><li>experience in retail or business analysis</li></ul>What is the work? Product and Business Analytics:<ul><li>Applies knowledge gained from experience to provide credible, action-oriented analyses that informs product strategy, prioritization, and roadmap decisions.</li><li>Builds and maintains product performance reporting tied to adoption, usage, operational efficiency, financial impact, and customer outcomes.</li><li>Partners with Product Managers to define and measure success metrics (OKRs, KPIs, value realization)</li><li>Supports discovery and delivery by conducting: Opportunity sizing, Impact modeling, & Post-launch performance analysis</li><li>Translates complex data into clear insights for product, engineering, and business leaders</li></ul>What is your background?<ul><li>A related degree or comparable formal training, certification, or work experience</li><li>1+ years of experience in retail or business analysis</li><li>Experience applying analytical, financial, or operational principles to business and/or product development</li></ul>This role is a key extension of the Product Team, working day-to-day with Product Managers, Engineers, and Business Stakeholders to ensure product investments are driven by measurable outcomes and real business value. We are looking for:<ul><li>Working knowledge of business principles</li><li>Strong analytical skills</li><li>Strong interpersonal skills</li><li>Strong verbal / written communication and presentation skills</li><li>Intermediate PC skills</li><li>Ability to effectively work at all levels of the organization</li><li>Ability to successfully communicate with and influence upper-level management</li><li>Ability to produce work products that make an impact on management decisions and business results</li><li>Ability to manage large-scale projects from conception to implementation</li><li>Ability to work effectively and efficiently with little supervision</li><li>Self-directed and motivated to independently accomplish results</li></ul>Can you...<ul><li>Function in a fast-paced, retail, office environment</li><li>Travel by car or plane with overnight stays</li><li>Sit for extended periods</li><li>Work extended hours</li></ul></div>

Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity
As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAA's ability to detect and prevent fraud on credit card, debit card, check, deposit, digital payments, as well as in other areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes:

* Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction in fraud losses and improvement in Member experience
* Work with Strategies and Model Management teams to understand and plan model needs
* Drives continuous innovation in modeling efforts
* Collaborate with the broader analytics community to share standard methodologies and techniques

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.

Relocation assistance is not available for this position.

This position can work remotely in the continental U.S. with occasional business travel.

What you'll do:

* Captures, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
* Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
* Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
* Composes technical documents for knowledge persistence, risk management, and technical review audiences. Consults with peers for mentorship, as needed.
* Translates business request(s) into specific analytical questions, completing the analysis and/or modeling, and presenting outcomes to non-technical business colleagues.
* Consults with Data Engineering, IT, the business, and other internal partners to deploy analytical solutions that are aligned with the customer's vision and specifications and consistent with modeling best practices and model risk management standards.
* Seeks opportunities and materials to learn new techniques, technologies, and methodologies.
* Ensures risks associated with business activities are optimally identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

* Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
* 2 years of experience in predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field
* Experience in training and validating statistical, physical, machine learning, and other sophisticated analytics models.
* Experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
* Ability to write code that is easy to follow, well detailed, and commented where vital to explain logic (high code transparency).
* Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
* Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
* Familiarity with performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
* Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
* Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
* Ability to communicate analytical and modeling results to non-technical business partners.

What sets you apart:

* US military experience through military service or a military spouse/domestic partner
* Graduate degree in a quantitative subject area
* Experience in fraud/financial crimes model development

Compensation range: The salary range for this position is: $93,770 - $168,790 .

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA 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.

Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission.
Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI , we've recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it's trained on. That's why we work with contributors from all over the world , who help improve AI models by providing expert human feedback . This data has led to AI advancements for the world's leading AI labs and large language model builders.

We've built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.
What you will be doing
We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems.

* Adopt a "user mindset" to produce natural data to meet the realistic needs you have or would use AI for.
* Use the tool of rubrics to address user needs in a structured way.
* Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models.
* Contribute across projects depending on your specific skillset and experience.

What we're looking for

* Education : Bachelor's degree or higher (or currently enrolled).
* Analytical and Problem-Solving Skills : Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning.
* Strong Writing : Clear, concise, and engaging writing to explain decisions or critique responses.
* Attention to Detail : Commitment to accuracy and ability to assess technical aspects of model outputs.

Nice to Haves:
* Experience in fields like literature, creative writing, history, philosophy, theology, etc.
* Prior writing or editorial experience (content strategist, technical writer, editor, etc.).
* Interest or background in AI, machine learning, or creative tech tools.

Compensation and benefits
Earn up to $15 USD/hr, paid out weekly
Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM
Free access to
Model Playground
Interact, experiment and engage with leading large language models free of cost
Flexible schedule and
time commitment
No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home
Join a global community of
Coding experts
Join a global network of experts contributing to advanced AI tools
Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.
Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.

As a Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, sophisticated technologies, and artificial intelligence solutions. This role will allow you to innovate, explore, and build solutions for FM using new technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention.

You'll be part of our innovative and diverse team of sophisticated data and analytics professionals. You'll work alongside multiple departments, including operations, innovation, business technology transformation, underwriting, and engineering. Through constant learning, innovation, discovery, and collaboration you'll not only help FM deliver on the promise of loss prevention, but you'll also grow your career and the scope of your impact across our company.
Using your creativity and applying a vast array of techniques and tools, you will plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision.

Your projects will be interesting, exciting and ambitious! You will use statistics to advance the mission and goals of FM.

Ph.D. in Statistics, Biostatistics or Operational Research with 2+ years of industry experience or a Master's degree with 5+ years of industry working experience in data science modelling
5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R, or SQL
2+ years of experience of working with cloud data analytics platform, such as Databricks
Advanced Knowledge and Working Experience in:
Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.)
Model Regularization
Probability Distributions
Hypothesis testing
Statistical Inference
Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.)
Simulation
Experiment Design
Non-Parametric Statistics
Experience as the lead role of full-cycle data science projects
Working experience in risk management and/or property insurance is strongly preferred

Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset.

The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more.

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

#LI-TA1

Description
Join a team where innovation meets impact. As a Senior Data Scientist , you will help drive the bank's adoption of Generative AI by leveraging Large Language Models (LLMs) to solve business problems, enhance customer experiences, and streamline internal operations. This role is ideal for someone with strong coding skills and experience in Natural Language Processing (NLP), who is excited to explore and apply emerging AI technologies in a practical, responsible, and scalable way.
---

Key Responsibilities

* Apply LLMs and other Generative AI tools to solve real-world problems across the bank, including summarization, classification, information extraction, and conversational AI.
* Source, clean, and prepare structured and unstructured data for model input and evaluation.
* Conduct exploratory data analysis and apply statistical techniques to support model evaluation and refinement.
* Collaborate with cross-functional teams including risk, compliance, and model validation to ensure responsible AI usage.
* Stay current with advancements in Generative AI and NLP, and assess their applicability to banking use cases.
* Document methodologies, findings, and model usage clearly for both technical and non-technical audiences.

---

Qualifications

* Required:

* 4+ years of experience in data science, analytics, or applied machine learning.
* Strong proficiency in Python and experience working in notebook environments.
* Experience with NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face).
* Demonstrated ability to work with unstructured text data and apply text processing techniques.
* Experience sourcing and preparing data from various systems and formats.
* Strong communication and collaboration skills, including technical writing and stakeholder engagement.

* Preferred:

* Exposure to Generative AI tools and pre-trained LLMs (e.g., GPT, Claude, Gemini).
* Experience with creating robust orchestration plans to solve business problems.
* Exposure to creating agentic workflows and systems.
* Experience working with model validation teams or regulators.
* Familiarity with prompt engineering and evaluation of LLM outputs.

---

Education

* Required: Master's Degree in Computer Science, Mathematics, Statistics, or a related field.

Hours & Work Schedule

* Hours per Week: 40
* Work Schedule: Monday - Friday
* Hybrid: 4 days on site from a Citizens corporate office, 1 day remote

#LI-Citizens1
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Why Work for Us At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Description
As a Principal Data Scientist , you will lead the strategic application of Generative AI across the bank, leveraging Large Language Models (LLMs) to drive innovation, improve operational efficiency, and enhance customer and employee experiences. This role requires deep expertise in NLP, hands-on experience with Generative AI tools, and the ability to guide teams in responsibly integrating these technologies into business processes.
---

Key Responsibilities

* Lead the design and implementation of solutions using LLMs and Generative AI tools for complex workflows and processes.
* Partner with business, risk, compliance, and technology teams to identify high-impact use cases and ensure responsible AI deployment.
* Guide data preparation efforts, including sourcing, cleaning, and structuring data for LLM input and evaluation.
* Evaluate model performance, conduct error analysis, and iterate on prompt engineering and fine-tuning strategies where applicable.
* Stay ahead of emerging trends in Generative AI and NLP, and assess their relevance to banking applications.
* Mentor junior data scientists and contribute to the development of best practices for AI adoption across the organization.
* Communicate technical concepts and findings clearly to executive stakeholders, regulators, and cross-functional teams.

---

Qualifications

* Required:

* 7+ years of experience in data science, machine learning, or applied AI.
* Proven experience applying Generative AI and LLMs in production or pilot environments.
* Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., LangChain, Autogen, Strands, etc.).
* Deep understanding of NLP techniques and their practical applications.
* Experience working with unstructured data and integrating AI solutions into business workflows.
* Strong communication and leadership skills, including technical writing and stakeholder engagement.

* Preferred:

* Experience with prompt engineering, model evaluation, and LLM orchestration.
* Familiarity with cloud platforms and MLOps tools.
* Experience interacting with model validation teams and regulators.

---

Education

* Required: Master's or Ph.D. in Computer Science, Mathematics, Statistics, or a related field.

Hours & Work Schedule

* Hours per Week: 40
* Work Schedule: Monday - Friday
* Hybrid: 4 days on site at a Citizens Corporate Office, 1 day remote

#LI-Citizens1
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Why Work for Us At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Job Description:Meet REVOLVE: REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit www.revolve.com. At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. In return, we promise to keep REVOLVE a company where inspired people will always thrive. To take a behind the scenes look at the REVOLVE corporate lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Senior Data Science Analyst role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned.Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projectsConduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations.Work closely with the DBA to improve BI's infrastructure, architect the reporting system, and invest in time for technical proof of concept.Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysisWork alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction. Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies:Outstanding analytical skills, with strong academic background in statistics, math, science or technology.High comfort level with programming, ability to learn and adopt new technology with short turn-around time.Knowledge of quantitative methods in statistics and machine learningIntense intellectual curiosity - strong desire to always be learningProven business acumen and results oriented.Ability to demonstrate logical thinking and problem solving skillsStrong attention to detail Minimum Qualifications:Master Degree is required3years of DS and ML experience in a strong analytical environment.Proficient in Python, NumPy and other packagesFamiliar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations.Experience with AB Testing and pseudo-A/B test setup and evaluationsAdvanced SQL experience, query optimization, data extractAbility to build, validate, and productionize models Preferred Qualifications:Strong business acumenExperience in deploying end to end Machine Learning models5years of DS and ML experience preferredAdvanced SQL and Python, with query and coding optimization experienceExperience with E-commerce marketing and product analytics is a plus A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it's what keeps us on our toes and excited to come to work every day. A reasonable estimate of the current base salary range is $120,000 to $150,000 per year.

Question	Topic	Difficulty	Ask Chance
Upsell Carousel	A/B Testing & Experimentation	Medium	Very High
Bootstrapping Confidence Intervals	Statistics	Easy	Low
Lyft Ops Dashboard	Data Visualization & Dashboarding	Medium	Low

H-E-B Data Scientist Interview Questions + Guide in 2025

Overview

HEB Data Scientist Interview Process

HEB Data Scientist Interview Questions

HEB Data Scientist Jobs