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>Pricing Analyst</h2>At Central Market, we're dedicated to bringing people joy through incredible food. A trip through Central Market is an adventure with delicious surprises around every corner. Described by industry experts as a daring innovator and smart competitor, Central Market has led the way with creative new concepts, outstanding service, and a commitment to diversity in our workforce, workplace, and marketplace. Do you have a: HEART FOR PEOPLE... ability to collaborate and influence cross-functionally? HEAD FOR BUSINESS... analytical skills and data-leveraging talent to tell a purposeful story? PASSION FOR RESULTS... drive to produce work that impacts decisions and results? 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/Central Market The Greatest Retailing Company.As a Pricing Analyst, you'll apply strategic and analytical models to maintain our price position within our competitive environment. You'll serve as a strategic thought Partner, providing perspective and recommendations to solve business challenges. Summary/Responsibilities of this position:<ul><li>Work with different areas of the company to ensure department leaders and senior management have full visibility into current Pricing Trends in retail</li><li>Provide comprehensive and complex data analysis on various aspects of retail including: Financial Cost Projections in relation to Pricing Initiatives and / or Strategic Changes</li><li>Competitive Price Analysis</li><li>Category and Manufacturer Pricing Trends and Projections</li><li>Elasticity Analysis in terms of Standard and / or Advertised Price Changes</li><li>Analysis of Market Dynamics, Current Pricing Trends, Marketing Opportunities and Current Operations in order to develop Reports and Applications</li><li>Act as a consultant to the assigned areas of the company to ensure all financial needs are met and that the assigned areas of the company are meeting performance goals</li><li>Perform and Communication of Weekly Reporting to various units within the business along with having the ability to identify the drivers of the week to week changes</li><li>Review total market news and information to identify potential price changes that may occur with commodity cost fluctuations and / or competitive strategic initiatives</li><li>Perform deep-dive analysis on different aspects of the business in order to recommend a course of action to correct any performance issues or to take advantage of any opportunity that may be present</li><li>Work with multiple data retrieval systems and architectures in order to perform all the tasks above (MicroStrategy, SQL, MS Access, etc.)</li></ul>Requirements:<ul><li>Bachelor's Degree in Finance, Mathematics, Statistics or Computer Science</li><li>Strong analytical and time management skills required</li><li>Strong attention to detail</li><li>Excellent verbal and written skills</li><li>Ability to persuade and lead groups</li><li>Strong Knowledge of Microsoft Word, Excel, PowerPoint, and Access.</li><li>High-level software skills including word processing, spreadsheet, graphics and relational database management required</li><li>Function in a fast-paced, retail, office environment</li><li>Work extended hours</li></ul></div>

YOUR ROLE <ol><li>We're looking for a Senior Data Scientist who can build and optimize our AI models that power our voice AI platform. You'll be the brain behind our technology, ensuring our AI can handle complex conversations while maintaining high accuracy and natural-sounding interactions. </li></ol> Your work will involve: <ul><li>● Own end-to-end model development – from requirement gathering and algorithm design to implementation and deployment, you'll shepherd ML features through their complete lifecycle. </li><li>● Build for conversational intelligence – develop models that can handle hundreds of thousands of conversations per day with high accuracy and natural language understanding. </li><li>● Innovate through research – stay current with cutting-edge NLP and speech technologies, read research papers, and implement state-of-the-art solutions that give us a competitive edge. </li><li>● Design ML pipelines – create robust, scalable machine learning infrastructure that can continuously improve from our growing conversation data. </li><li>● Optimize for performance – identify and resolve model bottlenecks to ensure our voice AI delivers natural, real-time conversations without comprehension issues. </li></ul> Why This Role Rocks <ul><li>● You'll have a front-row seat to building and optimizing cutting-edge AI models for voice intelligence. </li><li>● You'll get to work on natural language understanding, speech recognition, and conversational AI. </li><li>● You will be developing models that power conversations with some of India's biggest enterprises (Our voice AI technology is vetted by technical leaders at companies like Paytm). </li><li>● You'll have direct impact on model accuracy, performance, and the company's AI capabilities. </li><li>● You'll build mission-critical AI systems that enable hundreds of thousands of natural-sounding conversations daily. </li></ul> QUALIFICATIONS <ul><li>● What We're Looking For </li><li>● 5+ years experience in data science, machine learning, or related field </li><li>● Strong background in natural language processing (NLP) and conversational AI systems </li><li>● Experience with speech recognition and text-to-speech technologies </li><li>● Proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn) </li><li>● Familiarity with deep learning frameworks (PyTorch, TensorFlow, Hugging Face) </li></ul>● AI & ML Skills <ul><li>○ Experience fine-tuning language models (LLMs) for specific domains or tasks </li><li>○ Expertise in analyzing conversational data at scale and extracting actionable insights </li><li>○ Knowledge of customer intelligence systems and experience building data-driven applications </li><li>○ Understanding of speech-to-text optimization and improving transcription accuracy </li></ul>● Data Engineering & Analytics <ul><li>○ Experience with large-scale data processing (handling hundreds of thousands of conversations) </li><li>○ Ability to design and implement data pipelines for continuous model improvement </li><li>○ Knowledge of feature engineering techniques for conversational data </li><li>○ Experience with A/B testing methodologies to evaluate model improvements </li><li>○ Familiarity with data visualization tools for presenting insights to stakeholders </li></ul>● Startup Mindset <ul><li>○ You've built and deployed ML models in production environments </li><li>○ Comfortable with fast-paced environment where you'll own critical data science decisions </li><li>○ Collaborative approach - you work well with engineering teams, product, and </li><li>founders </li><li>○ Growth-minded and excited about building customer intelligence systems </li><li>that scale </li></ul> SOUNDS LIKE YOU? <ul><li>● User-obsessed: Users come first, above all else. </li><li>● Communication: You over-communicate. You communicate clearly and precisely, both verbally and in writing, including explaining technical concepts. </li><li>● Timeliness: You respect timelines and communicate beforehand if there is a blocker </li><li>● Ownership: You proactively take initiative to find solutions and focus on what must be done to create success. </li><li>● Grit: You pursue challenging goals with passion and courage. </li><li>● Intellectual curiosity: You want to constantly push yourself out of your comfort zone to try and learn new things </li><li>● Entrepreneurial: You are empowered to take decisions and act on them, treating this startup as your own</li></ul>

Vous souhaitez rejoindre une scale-up en pleine expansion où l’intelligence artificielle et les produits data sont au cœur de la stratégie et de l’innovation ?Notre partenaire développe une technologie de pointe basée sur les modèles de langage (LLM), utilisée à l’international pour transformer l’expérience client et automatiser des process complexes. Votre mission :En tant que Lead Data Scientist, vous serez responsable de la définition, du suivi et de l’amélioration des performances produit. Vous travaillerez en étroite collaboration avec les équipes techniques, sales et produit afin de maximiser l’impact business des solutions IA. Vos responsabilités principales :<ul><li>Définir et suivre les KPI produit : identifier les indicateurs clés de performance, les challenger et les améliorer de manière continue.</li><li>Optimiser les prompts et modèles LLM : collaborer avec les équipes techniques pour améliorer la qualité des réponses et l’expérience utilisateur.</li><li>Traduire les besoins clients en évolutions produit : comprendre les usages, participer aux échanges avec les clients (y compris en phase d’implémentation initiale), proposer des roadmaps et prioriser les fonctionnalités.</li><li>Apporter une vision Data & Produit : concevoir et prototyper des solutions, définir une stratégie data ambitieuse et alignée sur les enjeux business.</li><li>Collaborer en transverse : travailler main dans la main avec les équipes sales et techniques pour soutenir la croissance et l’innovation.</li></ul> Ce poste est fait pour vous si…<ul><li>Vous êtes Data Scientist confirmé·e, avec une appétence produite.</li><li>Vous savez définir et piloter des KPI produit, et avez déjà travaillé sur l’amélioration de modèles ou de prompts IA.</li><li>Vous avez un background solide en data science (exemple : expérience chez un acteur data/IA) et un parcours académique de haut niveau (HEC avec master en Data Science, ou Grandes Écoles type Centrale Paris, Mines, Télécom Paris).</li><li>Vous avez l’esprit entrepreneurial, êtes à l’aise dans un environnement start-up, et aimez prendre des initiatives.</li></ul> Pourquoi postuler ?<ul><li>Vous jouerez un rôle central dans l’évolution produit d’une start-up en hyper-croissance.</li><li>Vous aurez une forte autonomie et une grande liberté d’action : l’idée n’est pas de brider votre potentiel.</li><li>Vous évoluerez dans un environnement stimulant, mêlant IA, produit et innovation.</li><li>Opportunités d’évolution rapide et exposition directe aux décisions stratégiques.</li><li>Rémunération attractive, à la hauteur de votre profil et de vos ambitions.</li></ul> ???? CDI – Paris / Île-de-France ???? Intéressé(e) ? Contactez-nous à camille@wearesander.com !

Role Overview:Join our global AI team and help shape the future of intelligent systems. We’re looking for Data Scientists and Analysts skilled in Python who love solving tough problems, building smarter models, and turning data into real-world impact. Work with top US-based companies creating cutting-edge AI and ML solutions—from fine-tuning LLMs to analyzing large-scale datasets. What You’ll Do:<ul><li>Build, train, and optimize high-performance AI models.</li><li>Evaluate and improve LLM outputs for accuracy and alignment.</li><li>Design and lead Supervised Fine-Tuning (SFT) and RLHF workflows.</li><li>Collaborate with world-class researchers and engineers on innovative AI projects.</li><li>Analyze public datasets (Kaggle, UN, US Gov, etc.) to generate key insights.</li><li>Write clean, well-documented Python code and communicate your reasoning clearly.</li></ul> What You Bring:<ul><li>Bachelor’s/Master’s in CS, Engineering, or related field (or equivalent experience).</li><li>Strong Python, data analysis, and problem-solving skills.</li><li>Clear communication and analytical thinking.</li><li>Passion for advancing AI research and applications.</li></ul> Why Turing:<ul><li>100% remote work with flexible hours.</li><li>Collaborate on frontline AI projects with leading LLM innovators.</li><li>Join a global network of elite engineers and scientists.</li></ul> Offer Details:<ul><li>Commitments Required: at least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)</li><li>Engagement type : Contractor assignment (no medical/paid leave)</li><li>Duration of contract : 1 month; [expected start date is next week]</li></ul> Evaluation Process (approximately 75 mins) :<ul><li>Two rounds of interviews (60 min technical + 15 min cultural &, offer discussion)</li></ul> Know amazing talent? Refer them at <a>turing.com/referrals</a>, and earn money from your network.

We’re seeking a skilled Data Scientist with expertise in SQL, Python, AWS Sagemaker, Machine Learning (Supervised and Unsupervised Learning techniques) to contribute to Team. You’ll design predictive models, uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions. This role is ideal for a problem-solver passionate about turning data into strategic value.Key Responsibilities<ul><li>Model Development: Build, validate, and deploy machine learning models using Python and AWS SageMaker to drive next-best-action decisions.</li><li>Commercial Analytics: Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact NBA opportunities.</li><li>Cross-functional Collaboration: Partner with marketing, sales, and product teams to align models with business objectives and operational workflows.</li><li>Cloud Integration: Optimize model deployment on AWS, ensuring scalability, monitoring, and performance tuning.</li><li>Insight Communication: Translate technical outcomes into actionable recommendations for non-technical stakeholders through visualizations and presentations.</li><li>Continuous Improvement: Stay updated on advancements in AI/ML, cloud technologies, and commercial analytics trends.</li></ul>Qualifications <ul><li>Education: Bachelor’s/Master’s in Data Science, Computer Science, Statistics, or a related field.</li><li>Experience: 3-4 years in data science, with a focus on commercial/customer analytics (e.g., pharma, retail, healthcare, e-commerce, or B2B sectors).</li></ul> Technical Skills:<ul><li>Proficiency in SQL (complex queries, optimization) and Python (Pandas, NumPy, Scikit-learn).</li><li>Hands-on experience with AWS SageMaker (model training, deployment) and cloud services (S3, Lambda, EC2).</li><li>Familiarity with ML frameworks (XGBoost, TensorFlow/PyTorch) and A/B testing methodologies.</li></ul> Analytical Mindset: Strong problem-solving skills with the ability to derive insights from ambiguous data.Communication: Ability to articulate technical concepts to business stakeholders.Preferred Qualifications<ul><li>AWS Certified Machine Learning Specialty or similar certifications.</li><li>Experience with big data tools (Spark, Redshift) or ML Ops practices.</li><li>Knowledge of NLP, reinforcement learning, or real-time recommendation systems.</li><li>Exposure to BI tools (Tableau, Power BI) for dashboarding.</li></ul>

<div><h2>Capital Markets Data Scientist</h2>PayPal's Capital Markets Data Scientist role is a Senior Manager level that offers a unique opportunity to work with global loan data encompassing diverse portfolios to deliver actionable analytics. This role supports internal teams and investors by providing sophisticated data insights and analytics for financial modeling, with a focus on Asset-Backed Securities (ABS) deals in collaboration with counterparties. This position is vital to driving data-informed decisions that facilitate PayPal's leadership in innovative financial products within global capital markets.Essential Responsibilities:<ul><li>Develop and articulate clear objectives and implement strategies that deliver results and meet Financial goals</li><li>Influence decision-making at the senior leadership level</li><li>Perform the most highly complex credit and lending assessments using knowledge and extensive business expertise</li><li>Develop and deliver innovative strategies that benefit customers and/or clients for financial success</li><li>Lead major business projects which impact a business unit or entire function</li><li>Design, evaluate, and select financial objectives based on thorough understanding of business needs and industry trends</li><li>Lead others to solve issues of diverse scope</li></ul>Expected Qualifications:<ul><li>Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.</li></ul>Data Scientist Responsibilities:<ul><li>Analyze and aggregate PayPal's global loan data to provide comprehensive insights for internal stakeholders and investor reporting.</li><li>Deliver analytics-driven support for financial model building, including cash flow analysis, credit risk assessment, and pricing strategies.</li><li>Lead efforts in creating dashboards, reports, and presentation materials that communicate complex data and trends to executive leadership and investors.</li><li>Enhance data pipelines and infrastructure to ensure scalable, accurate, and secure handling of high-volume, complex loan-level datasets.</li><li>Develop, validate, and maintain robust financial and credit models used for ABS transaction structuring and portfolio monitoring.</li><li>Collaborate closely with ABS counterparties, investment teams, and business units to provide timely analytics for deal execution and capital markets activities.</li><li>Stay updated and implement industry best practices around structured finance analytics, data privacy, and regulatory compliance.</li><li>Liaise with many cross functional teams on everything related to capital markets workstreams.</li></ul>Minimum Qualifications:<ul><li>Minimum of 5 years of relevant experience, including extensive exposure to data and loan portfolio analytics</li><li>Bachelor's degree in Finance, Economics, Mathematics, Statistics, Data Science, or related quantitative field; advanced degree preferred</li></ul>Preferred Qualifications:Education:<ul><li>Bachelor's or Master's degree or higher in quantitative disciplines such as Mathematics, Statistics, Economics, Finance, Business Analytics, Engineering, or Data Science from accredited institutions.</li></ul>Professional Experience & Skills:<ul><li>5+ years of experience in data analytics, structured finance, or credit risk management, preferably at a fintech company, investment bank, or hedge fund.</li><li>Proven track record working with large-scale loan data across multiple asset classes, including ABS portfolios.</li><li>Strong experience building and maintaining financial and credit risk models that support investment decisions and capital markets transactions.</li><li>Proficiency in data management and analytics tools including SQL, Python, R, Tableau, Excel, and PowerPoint.</li><li>Skilled in synthesizing complex datasets to derive meaningful insights with urgency and accuracy.</li><li>Excellent project management skills, including the ability to drive results and influence cross-functional partners.</li><li>Experience advising internal stakeholders and external investors with clear, compelling communication of analytical results.</li><li>Demonstrated leadership in team development and mentorship, fostering high productivity and continuous learning.</li></ul>Work Permit and Relocation Prerequisites:<ul><li>Candidates must possess valid authorization to work in the country where the position is located.</li><li>Relocation assistance is not provided for this role.</li></ul>PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits.The US national annual pay range for this role is $137,500 to $236,500PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit PayPal's official contact page.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important assetyou. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit PayPal's benefits page.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.Notice to Applicants and Employees who reside within New York City. Click here to view the notice.</div>

It's an exciting time in our Pricing and Analytics department here at AXA UK. Our transformation programme has recently been relaunched, aligned to AXA Retail's new Pricing and Analytics strategy. We're investing a lot in growing our department in size and capability across our IT systems, analytical toolset and learning and development. AXA are investing a lot in growing our department in size and capability across our IT systems, analytical toolset and learning and development. We'd love to hear from motivated people who can help us deliver our commitments to our business, our customers, and our people. Within AXA Retail we’re looking for a Senior Data Scientist. You’ll support initiatives that leverage internal data assets and innovative techniques to develop features and insights that enhance pricing models and strategic decision-making. You’ll be involved in exploring, experimenting with, and optimizing internal data to generate high-value features that improve model performance and business outcomes. At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. What you’ll be doing: <ul><li>Assist in Identify and develop innovative features and insights from internal data sources to enhance business value.</li><li>Support the design, testing, and refinement of features derived from internal data.</li><li>Collaborate with data engineering teams to operationalize features within scalable production environments.</li><li>Maintain a good understanding of internal data assets, ensuring quality, consistency, and accessibility.</li><li>Contribute to strategies for data cataloguing, lineage, and documentation to support exploration and reuse.</li><li>Work with IT and data platform teams to help develop scalable, robust data pipelines.</li><li>Support the application of advanced analytical techniques (spatial analysis, text mining, interaction features) to uncover hidden value.</li><li>Partner with pricing, underwriting, claims, and fraud teams to understand data needs and communicate findings. </li></ul>Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply. What you’ll bring: <ul><li>Strong statistical modelling, data manipulation and financial analysis skills</li><li>Proficient in open-source predictive analytics software such as R and Python for advanced data analysis.</li><li>Ability to work effectively under pressure, meet strict deadlines, and maintain high levels of accuracy and reliability.</li><li>Proven ability to plan and prioritise own work. Ability to work under pressure and to strict deadlines whilst maintaining reliability and accuracy.</li><li>Excellent numerical and mathematical skills, with a degree in a related discipline or equivalent proficiency.</li><li>Detailed understanding of appropriate statistical techniques for insurance risk analysis and demand pricing</li><li>Proven ability to plan and prioritise own work. Ability to work under pressure and to strict deadlines whilst maintaining reliability and accuracy</li><li>Ability to grasp the significance and meaning of a range of technical and complex issues relating to underwriting, claims handling, pricing, reserving and financial analysis of insurance. </li></ul>As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. What we offer: At AXA UK, we’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive: <ul><li>Competitive annual salary dependent on experience</li><li>Annual company & performance-based bonus</li><li>Contributory pension scheme (up to 12% employer contributions)</li><li>Life Assurance (up to 10 x annual salary)</li><li>Private medical cover </li><li>25 days annual leave plus Bank Holidays</li><li>Opportunity to buy up to 5 extra days leave or sell up to 5 days leave</li><li>Wellbeing services & resources </li><li>AXA employee discounts </li></ul>To apply, click on the ‘apply for this job’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to martin.eels@axa-uk.co.uk. Who we are: AXA Retail helps people live the life they love, knowing we’ve got their back, at home and on the road. Our people are vital to us becoming more digital, faster and easier to access. We’re a dynamic team of experts completely committed to making sure our customers ‘get back to the good stuff’ when the unexpected happens.

Impetus Technologies Impetus Technologies is a leading digital engineering company specializing in data, cloud, and AI-driven solutions. Headquartered in Los Gatos, California, with global offices in India, Australia, and Canada, Impetus partners with Fortune 100 clients across banking, airlines, pharmaceuticals, and other industries. Innovative establishments like Gathr, ClearTrail, Intellicus and Kyvos have emerged from the Impetus family. Impetus and its affiliate companies employ over 3700 engineers across continents. The group counts some of the largest companies in the world as its customers, including the biggest banks, airlines, and pharmaceutical companies across the globe. The company is headquartered in Los Gatos, California. Impetus was named Databricks Migration Partner of the Year, 2024 and is also recognized among the best employers in the industry by a variety of national and international organizations, including Great Place to Work, AVTAR and HRD Congress. To know more about us, visit: <a>https://www.impetus.com/about/</a> Experience- 8 to 10 years Locations- Noida / Indore / Bangalore / Pune / Gurgaon Job Description <ul><li>Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.</li><li>Implementing and fine-tuning the AI-generated text prompts using LLMs (eg:-GPT4)</li><li>Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.</li><li>Ability to understand business requirements.</li><li>Use case derivation and solution creation from structured/unstructured data</li><li>Storytelling, Business Communication, and Documentation</li><li>Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras</li><li>Exploratory Data Analysis</li><li>Machine Learning and Deep Learning Algorithms</li><li>Model building, Hyperparameter tuning, and Model performance metrics</li><li>MLOps, Data Pipeline, Data Engineering</li><li>Statistics Knowledge (Probability Distributions, Hypothesis Testing)</li><li>Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).</li><li>ML services from Clouds such as AWS, GCP, Azure, and Databricks</li><li>Optional - Databricks, Big Data -Basic knowledge of Spark, Hive</li></ul> Roles & Responsibilities Acquire skills required for building Machine learning models and deploy them for production.Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skillsDevelop Cloud based applications including LLM/GenAI and deploy them into production.

Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.____________________________________________________________Our stack<ul><li>Google Cloud Platform</li><li>Data Storage: GS, PostgreSQL (CloudSQL), BQ, ClickHouse</li><li>Language: Python</li><li>Tools: Airflow, k8s, Docker, FastAPI, gRPC, celery, NumPy, Pandas, SciPy</li><li>LLM APIs: OpenAI, Google, Anthropic, Perplexity</li><li> </li></ul>Examples of our projects<ul><li>Keyword search volumes: A metric showing how many times people search for a specific keyword in search engines.</li><li>Personal keyword difficulty: A personalized evaluation of how difficult it is to promote a specific domain for a particular keyword.</li><li>Keyword search intent: The goals users pursue when making a request in a search engine.</li><li>Brand performance: An evaluation of how often LLMs mention a brand in their responses.</li><li>Authority score: An indicator of both the quantity and quality of a backlink profile.</li></ul> Who we are looking for <ul><li>3+ years of experience as a DS or MLE</li><li>Knowledge of Natural Language Processing (NLP) techniques (TF-IDF, BERT, FastText)</li><li>Strong understanding of machine learning algorithms, probability theory, statistics, and linear algebra</li><li>High proficiency in Python and the ML stack</li><li>Hands-on experience with LLMs</li><li>Knowledge of SQL</li></ul> Not required, but a plus<ul><li>Practical knowledge of RAG and building AI agents</li><li>Experience deploying and maintaining LLM-based solutions in production</li><li>Experience with GCP and Vertex AI</li><li>Experience developing ETL processes with Airflow</li><li>You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better</li></ul> ____________________________________________________________Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.Sign up now at https://app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you.

Job SummaryWe are seeking a talented and driven Data Scientist with Secret Clearance to join our dynamic team. In this role, you will apply advanced data analytics and machine learning techniques to solve complex problems in a variety of domains. You will work with large datasets, develop predictive models, and support decision-making processes while adhering to the highest standards of security and confidentiality.As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned.Responsibilities<ul type="disc"><li>Analyze large and complex datasets to extract actionable insights that will inform business strategies and decisions</li><li>Develop, implement, and maintain predictive models and machine learning algorithms</li><li>Collaborate with cross-functional teams to understand business needs and translate them into technical solutions</li><li>Use statistical methods, data mining, and machine learning to uncover trends and patterns within the data</li><li>Prepare reports and presentations that effectively communicate your findings to both technical and non-technical stakeholders</li><li>Ensure compliance with all security protocols and confidentiality requirements, adhering to industry standards and internal policies</li><li>Support senior leadership in strategic decision-making through advanced data-driven insights</li><li>Stay up-to-date with the latest developments in data science, machine learning, and related fields</li><li>Provide technical guidance and mentorship to junior data scientists and analysts</li></ul>Basic Qualifications<ul type="disc"><li>US Citizenship Required</li><li>Active Secret Security Clearance</li><li>If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered</li><li>Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field (Master's preferred)</li><li>At least 3+ years of experience as a Data Scientist or in a related data analysis role</li><li>Strong proficiency in Python, R, or similar programming languages for data analysis</li><li>Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)</li><li>Strong knowledge of SQL and experience with relational databases</li><li>Familiarity with data visualization tools like Tableau, Power BI, or similar</li><li>Solid understanding of statistical modeling, hypothesis testing, and data-driven decision-making</li><li>Excellent communication skills, with the ability to present technical findings to non-technical stakeholder</li><li>If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered</li></ul>Preferred Qualifications<ul type="disc"><li>Experience working with classified government data or in a defense-related environment</li><li>Familiarity with cloud platforms (AWS, Azure, etc.) and data processing tools</li><li>Knowledge of big data technologies (e.g., Hadoop, Spark)</li><li>Experience with DevOps practices and version control (Git, GitHub)</li><li>Strong problem-solving skills and ability to work in a fast-paced environment</li><li>Machine Learning experience is a plus</li></ul>Company SummaryJoin the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.PDN-a06bae9a-607a-4464-ae69-53a79e2690f1

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

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