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

Myntra Data Scientist Interview Guide

Getting ready for an Data Scientist interview at Myntra? The Myntra Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Myntra Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Myntra.</li>
<li>Practice real Myntra 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 Myntra Data Scientist interview.


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

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

Myntra Data Scientist Interview Process

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Business Case

Declining Applicants

Analytics

Making data-driven insights actionable for those without technical expertise

Simple Explanations

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing

Let’s say that Facebook would like to change the user interface of the composer feature (the posting box) to be more like Instagram. Instead of a box, Facebook would add a “+” button at the bottom of the page.

How would you test if this is a good idea?

What could be a potential risk when Facebook segments the results of the user interface change by market or demographic groups?

What could be a potential risk when Facebook segments the results of the user interface change by market or demographic groups?

Changing Composer I

What is the primary metric that Facebook should monitor if it decides to make the user interface of its posting feature more like Instagram's?

What is the primary metric that Facebook should monitor if it decides to make the user interface of its posting feature more like Instagram's?

Changing Composer II

Changing Composer

Let’s say at Netflix we offer a subscription where customers can enroll for a 30-day free trial. After 30 days, customers will be automatically charged based on the package selected.

Let’s say we want to measure the success of acquiring new users through the free trial.

How can we measure acquisition success and what metrics can we use to measure the success of the free trial?

Let’s say we want to measure the effectiveness of Netflix’s 30-day free trial plan.

What is NOT a metric we would use?

Let's say we want to measure the effectiveness of Netflix's 30-day free trial plan.

What is NOT a metric we would use?

Netflix Retention

How do we measure the success of acquiring new users through a free trial

Product Sense & Metrics

Myntra Data Scientist Interview Questions

Responsibilities:- Monthly Monetization supply planning and optimization- Monthly BU wise Traffic planning - Monitor Platform Search trends and reporting- Work in tandem with Product team on Search and Sort related BRDs and PRDs- Manage a team of 2 analysts and drive overall Store Analytics- Work on Growth of Central Campaigns like Myntra Unique- Support business decisions by - formulating hypothesis, structuring the problem, analyse relevant data to verify hypothesis and prepare documentation to communicate the results with insights- Monitor key metrics such as revenue, gross margin, item price, conversion, customer count etc.- Influence various teams/stakeholders within the organization (planning, category etc.) to meet goals- Analyzing platform and category level metrics to isolate problems/strength areas to solve/leverage- Develop & implement strong reporting formats which give a 360 degree view of the health of the portfolio- Use statistical methods to analyze data and generate useful business reports and insights- Work with management team to create a prioritized list of needs for each business segment.- Work with departmental managers to outline the specific data needs for each business method analysis projectQualifications & Experience:- Engineering Degree from an accredited university or college.- Work experience as a data analyst or in related analytics area for at least 3+ Years- Demonstrated experience in handling large data sets and relational databases (SQL exposure a must)- High-competency in written and verbal communication skills - Able to work with others in a fast-paced, team environment and to interact effectively with all levels of management.- Results oriented with excellent communication and interpersonal skills, can work individually with minimal or no supervision- Experience with advanced MS Excel, Python or R and SQL a mustKey skills required : Statistics/Math Skills, MS Excel, Python or R, SQL, PowerBi (optional)

<h3>Job Description</h3><div>Job Description<div><div>Who We Are:Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.Our Team Members:We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.</div>Your Role: Alpaca is seeking an experienced Senior Data Scientist to join our remote, distributed team. This role is pivotal in driving insights and innovation from our rich data ecosystem, including financial transactions, customer data, API usage patterns, and third-party sources.You will be responsible for applying deep predictive and descriptive analytics to unlock strategic value and will be a key player in developing our next generation of agentic AI applications.What You'll Do<ul><li>Lead Advanced Analysis: Design and execute deep predictive and descriptive analyses across our core business domains, including finance, marketing, and product metrics, to identify key trends, optimization opportunities, and strategic insights.</li><li>Develop Agentic AI: Spearhead the research, proof-of-concept (PoC), and full-lifecycle development of data-intensive applications, with a specific focus on building and deploying agentic AI systems.</li><li>Drive Model Lifecycle: Own the end-to-end development of data science solutions, from initial research and data handling (high-volume transactions, metrics) through to deployment, optimization, and maintenance.</li><li>Cross-Functional Collaboration: Work closely with stakeholders in sales, marketing, product, and operations to understand complex business needs and translate them into actionable, data-driven solutions.</li><li>Evolve Capabilities: Contribute to the evolution of Alpaca's data science capabilities by championing best practices in statistical modelling, MLOps, and advanced AI.</li></ul>Required Qualifications<ul><li>Domain Experience: Proven experience as a Senior Data Scientist with direct, hands-on experience in the brokerage, trading, or financial services industry.</li><li>Technical Proficiency: Expert-level proficiency in Python (including common data science libraries like pandas, scikit-learn, etc.) and advanced SQL.</li><li>Data Science Expertise: Deep understanding of statistical methods for supervised and unsupervised learning, with a strong portfolio of building and deploying models in a production environment.</li><li>Cloud & Data Warehousing: Hands-on experience with cloud-native data warehouses (e.g., Snowflake, BigQuery, Redshift; we use Trino & Iceberg) and familiarity with modern ETL processes.</li><li>Full-Stack Mindset: Ability to lead projects through the entire lifecycle (research, development, deployment, maintenance) and a strong understanding of handling high-volume data.</li><li>Collaboration: Excellent communication skills and a proven ability to thrive in a fast-paced, collaborative environment, translating complex findings for non-technical stakeholders.</li></ul>Preferred Qualifications (Nice-to-Have)<ul><li>Agentic AI / LLMs: Direct experience building applications using Large Language Models (LLMs) or agentic AI frameworks (we use Google Agent Engine).</li></ul>Semantic Layers: Familiarity with data modelling and semantic layers (e.g., dbt Semantic Layer, Cube.js, LookML).<div>How We Take Care of You:<ul><li>Competitive Salary & Stock Options</li><li>Health Benefits</li><li>New Hire Home-Office Setup: One-time USD $500</li><li>Monthly Stipend: USD $150 per month via a Brex Card</li></ul>Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy</div></div></div>

Job Family : Data Science Consulting

Travel Required : Up to 25%

Clearance Required : Ability to Obtain Public Trust

What You Will Do :
We are seeking an experienced Senior Data Scientist to join our AI and Data practice, supporting transportation and federal civilian agency initiatives. This hands-on leader will provide strategic advice, technical oversight, and direct support for data-driven projects. The role requires expertise in advanced analytics, data governance, and AI/ML, enabling clients to achieve mission outcomes and operational efficiency.
Key Responsibilities:

* Serve as a trusted advisor on data strategy, governance, and analytics modernization
* Lead engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes
* Design and oversee AI/ML and analytics solutions using platforms such as Databricks, Snowflake, Azure/AWS/GCP
* Develop, maintain, and enhance Python-based tools and scripts for data analysis, automation, and reporting
* Apply CRISP-DM, Agile Kanban, and human-centered design methodologies to deliver impactful solutions
* Mentor multidisciplinary teams, fostering innovation and continuous learning
* Collaborate with stakeholders to translate business challenges into actionable data solutions
* Support business development through proposal writing and strategic pursuits
* Drive adoption of data culture and literacy through enablement resources, training, and community of practice sessions

What You Will Need :

* US Citizenship is required
* Bachelor's degree required
* Minimum FIVE (5) years of hands-on data science, engineering, and analytics experience
* Minimum TWO (2) years delivering data-driven transformation programs
* Expertise in Python for data analysis, automation, and model development, including experience with libraries such as Pandas, NumPy, scikit-learn, and data visualization tools
* Experience with R, PowerBI, MicroStrategy, and cloud analytics environments
* Strong understanding of AI/ML technologies, data platforms, and analytics methodologies
* Experience developing and delivering self-service data products, dashboards, and AI/ML solutions
* Demonstrated experience in business development lifecycle
* Proven track record leading large-scale analytics and AI engagements
* Ability to collaborate across technical and business audiences
* Excellent communication, facilitation, and relationship-building skills

What Would Be Nice To Have :

* Master's Degree
* AI/LLM Certifications
* Project Management Professional (PMP)
* Experience with federal contracting and procurement processes
* Familiarity with DAMA-DMBOK, DCAT, and federal data governance frameworks

#LI-DNI

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer :
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

* Medical, Rx, Dental & Vision Insurance
* Personal and Family Sick Time & Company Paid Holidays
* Position may be eligible for a discretionary variable incentive bonus
* Parental Leave and Adoption Assistance
* 401(k) Retirement Plan
* Basic Life & Supplemental Life
* Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
* Short-Term & Long-Term Disability
* Student Loan PayDown
* Tuition Reimbursement, Personal Development & Learning Opportunities
* Skills Development & Certifications
* Employee Referral Program
* Corporate Sponsored Events & Community Outreach
* Emergency Back-Up Childcare Program
* Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com (mailto:RecruitingAccommodation@guidehouse.com) . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com (mailto:guidehouse@myworkday.com) . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com (mailto:recruiting@guidehouse.com) . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

<h3>Job Description</h3><div>Job Description<div>#TeamNextdoorNextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsAs a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product.At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.The Impact You'll MakeThe Content Growth team is currently focused on scaling high-quality third-party content, with a strong emphasis on video, local creators, and events, to drive engagement and fill content gaps in low-activity neighborhoods. As a Data Scientist on the Content Growth team, you will partner with Analytics Engineers to advance our data foundation, collaborate with our cross-functional teams to develop and execute product roadmaps, and define/own the ways we measure success and elevate experimentation capabilities of the team.We are seeking an entrepreneurial and driven data scientist to accelerate our efforts and play a significant role in our data-centric culture. This person will work closely with various cross-functional teams, such as product, engineering, and design, to develop and deliver metrics, analyses, solutions, and insights.Successful candidates will demonstrate technical acumen, product expertise, and business acumen, and be enthusiastic about making a positive impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility.Your responsibilities will include:<ul><li>Partner with cross-functional teams - including product management, design, engineering, research - to support product development efforts</li><li>Experiments: design and measure experiments to inform feature decisions</li><li>Develop key strategic insights through exploratory data analysis, to inform future investments or pivot in strategy</li><li>Build scalable metrics and dashboards to empower efficient decision-making at Nextdoor </li><li>Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises</li><li>Build in-person relationships with team members and contribute to Nextdoor's company culture</li></ul>What You'll Bring To The Team<ul><li>5-7 years of data science and product analytics experience</li><li>BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.</li><li>Experience in designing trustworthy experimentation and analyzing complex product a/b testing results</li><li>Experience identifying, designing, and delivering ergonomic tables to amplify speed + accuracy of key analysis and self-serve reports</li><li>Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn</li><li>Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives, and compile compelling narratives</li><li>Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies</li><li>Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done</li></ul>RewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.The starting base salary for this role for the San Francisco, CA area is expected to range from $175,000 to $234,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date.Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.</div></div>

A bout The Role & Team:
At Disney Consumer Products , we inspire imagination around the world and are committed to creating happiness for families and fans by bringing captivating, inspiring, and inclusive products into their daily lives. From toys to t-shirts, console games, books, and more, our team brings our beloved brands and franchises into the lives of families through products and experiences that can be found worldwide, such as the Disney Store e-commerce platform, Disney Parks, local and international retailers, and Disney Store locations around the world.

The Merchandise Business Insight and Analytics (MBIA) team is part of Disney's Consumer Products organization, which creates and sells Disney products worldwide. The MBIA team supports the full retail lifecycle by providing analytics, reporting, and insights that empower data-informed decision-making for a broad community of stakeholders across Category and Location Planning, Product Development, Merchandising, and Retail Operations.

We are seeking a Sr. Data Scientist to support and drive advanced analytics and data science initiatives for brick-and-mortar and ecommerce retail across Disney Experiences. This role will focus on developing and enhancing machine learning models and data-driven solutions to optimize key areas such as customer segmentation, assortment rationalization, promotion optimization, and performance forecasting. The ideal candidate will have deep expertise in statistical modeling, machine learning, and retail strategy. This position plays a critical role in enabling data-informed decisions that enhance guest experience, drive revenue growth, and support strategic business objectives across digital and physical retail environments.

This role will report to the Sr. Manager, Data Science.

What you will do:

* Lead End-to-End Model Development: Design, develop, and deploy advanced statistical and machine learning models (e.g., regression, classification, clustering, time series forecasting) to solve complex retail problems including customer segmentation, promotion optimization, and demand forecasting.
* Drive Scalable Data Solutions: Architect and implement scalable data pipelines and model workflows using Python, SQL, and cloud platforms (e.g., Google Cloud Platform, Snowflake) to support continuous data integration and model retraining across large-scale retail datasets.
* Develop Visual Analytics Tools: Build dynamic dashboards and self-service analytics solutions using Tableau, Looker, or similar platforms to monitor key business metrics, track model performance, and deliver actionable insights to cross-functional partners.
* Partner with Business & Technical Stakeholders: Collaborate with product, merchandising, marketing, and technology teams to translate ambiguous business questions into structured analytics problems and deliver insights that drive strategic decisions and operational improvements.
* Mentor and Lead Data Science Best Practices: Guide data scientists and analysts by promoting code quality, model validation, reproducibility, and responsible AI practices including performance monitoring, bias mitigation, and stakeholder education.

Required Qualifications and Skills:

* 5+ years as a Data Scientist with subject matter expertise in retail, with experience in areas including customer segmentation, performance forecasting, and business optimization.
* Business Acumen: Ability to translate complex analytical insights into actionable strategies; proven track record of partnering with cross-functional teams such as Merchandising, Operations, Finance, and Marketing to drive revenue outcomes.
* Retail Expertise: Proven experience developing and optimizing retail strategies through advanced analytics, including customer segmentation, demand forecasting, promotional analysis, and performance measurement across both brick-and-mortar channels and ecommerce channels.
* Data Visualization & Dashboarding: Proficient in developing intuitive, impactful dashboards and visual analytics using tools (e.g., Tableau) to enable self-service insights, monitor key retail metrics, and support data-driven decision-making across stakeholders.
* Advanced Statistical Modeling: Deep knowledge of predictive modeling techniques such as regression, time series forecasting (e.g., ARIMA, Prophet), causal inference, and machine learning methods (e.g., XGBoost, LightGBM).
* Experimental Design: Proficiency in designing and analyzing experiments, including A/B testing, geo-lift studies, and other causal frameworks to measure the impact of retail changes.
* Python Proficiency: Expert-level skills in Python, with demonstrated ability to build scalable, production-ready pricing and forecasting models using libraries such as pandas, scikit-learn, statsmodels, and PyMC.
* SQL Expertise: Expert-level skills in SQL for querying and manipulating large-scale retail and transactional datasets, with experience building automated data pipelines.
* Big Data & Cloud Proficiency: Hands-on experience working with large-scale data environments using platforms such as Google Cloud Platform (GCP), Snowflake, BigQuery, and Spark to ingest, process, and analyze complex retail datasets efficiently and at scale.

Education:

* Bachelor's degree in Mathematics, Economics, Data Science, Computer Science, Operations Research, or a related field of study, and/or equivalent work experience.

Preferred Education:

* Master of Science or PhD

Additional Information:

* This role is located in Orlando, FL
* As part of the interview process, there will be a skill assessment

Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at https://jobs.disneycareers.com/benefits (https://jobs.disneycareers.com/benefits)

#LI-REQ
#DXMedia
#DCPJobs

<h3>Job Description</h3><div>Job Description<div>Job Description:We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks. This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making.The Level 3 Data Scientist shall possess the following capabilities:<ul><li>Foundations: (Mathematical, Computational, Statistical).</li><li>Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).</li><li>Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).</li><li>Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing, storage and analytic capabilities and limitations.</li><li>Requires compiling various data sources via computer scripting, statistical analysis, data modeling, etc. This position requires being able to develop rapid prototypes and analytics to show metrics on sensor performance. A SIGINT background is a strong foundation for this team. PROFORMA or other RF experience and/or 451/452 is a nice to have.</li></ul>Qualifications:<ul><li>Bachelor's Degree with 10 years of relevant experience.</li><li>Associates degree with 12 years of relevant experience.</li><li>Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.</li><li>Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.</li></ul> TS/SCI with polygraph is required. Job Posted by ApplicantPro </div></div>

<div><h2>Staff Data Scientist, Product, Applied AI</h2>Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. We're looking for a creative data scientist to join a small, agile team developing new AI products and infrastructure. As part of this team, you will leverage your expertise to drive decision-making with data including making recommendations, measuring return on investment, and identifying new opportunities to pursue.Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.<h3>Minimum Qualifications:</h3><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree).</li></ul><h3>Preferred Qualifications:</h3><ul><li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).</li></ul><h3>Responsibilities:</h3><ul><li>Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).</li><li>Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presentation to stakeholders.</li><li>Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.</li><li>Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.</li><li>Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization.</li></ul>Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.</div>

Data Scientist or Senior Data Scientist | Health & Fitness | London / Hybrid | £60,000-£80,000 DOE + 10% Bonus We’re currently working with one of the UK’s most recognised names in the Health & Fitness industry. They're looking to hire a Data Scientist or Senior Data Scientist to join their ambitious and growing team. The Company With over a decade of industry presence, this brand has expanded to more than 200 locations across the UK and proudly supports a community of over 500,000 members. They’ve built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business. The Role This is an exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling and ML pipeline development within a fast-paced, consumer-focused organisation. You’ll lead impactful work across the full lifecycle — from exploration and predictive modelling to deployment and automation — using modern cloud tooling to shape smarter pricing, retention, and customer insight. Alongside hands-on modelling, you’ll help strengthen MLOps practices and contribute to emerging AI initiatives, working closely with engineering and analytics teams to deliver scalable, high-value solutions. Key attributes of the suitable Data Scientist include: <ul><li>Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models.</li><li>Exposure to MLOps or ML engineering practices, including pipelines, CI/CD, model monitoring, and working with tools like Azure ML or Fabric.</li><li>Commercially minded communicator who can translate data into clear, actionable insight and work collaboratively with technical and non-technical stakeholders.</li></ul>

About UsWe are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build engaging customer experiences for in-store retail.Our mission is to change retail forever through hyper-personalised shopping experiences that are both simple and beautiful. About the JobWe are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities:<ul><li>Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling.</li><li>Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems.</li><li>Bring your models to production and optimise for inference in edge computing environments.</li></ul> Essential Qualifications:<ul><li>3-5+ years implementing advanced data science solutions in a commercial setting.</li><li>MSc in Computer Science, Machine Learning, or a related field.</li><li>Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt).</li><li>Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting.</li><li>Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code.</li></ul> Desired Skills (Bonus Points):<ul><li>Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement.</li><li>Experience with recommender systems and/or behavioural AI.</li></ul> What We Offer:<ul><li>Opportunity to build technology that will transform millions of shopping experiences.</li><li>Real ownership and impact in shaping product and company direction.</li><li>A dynamic, collaborative work environment with cutting-edge ML challenges.</li><li>Competitive compensation and equity in a rapidly growing company.</li></ul> If you're an energetic data scientist who thrives in a fast-paced environment and wants to make a real impact on the future of retail, we'd love to hear from you.

Senior Data/AI ScientistLondon – (Hybrid, 3 days a week in office)Up to £80,000 + benefits About the RoleOur client is a data-led organisation that has made significant investment in modern data and AI capabilities. With a mature data platform and strong executive buy-in, they are now focused on embedding advanced AI into both customer-facing products and internal decision-making tools. As a Senior AI Scientist, you’ll play a key role in designing, building and deploying applied AI systems, with a particular focus on large language models (LLMs), retrieval-augmented generation (RAG), and conversational AI. This is a hands-on role operating across the full AI lifecycle, from experimentation and prototyping through to production deployment. You’ll work closely with product, engineering and business teams to ensure AI solutions are practical, scalable and deliver clear commercial and customer impact. Key Responsibilities<ul><li>Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots.</li><li>Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies.</li><li>Fine-tuning, evaluating and deploying language models, with a focus on response quality, reliability and performance.</li><li>Building agentic workflows and conversational flows for both customer-facing and internal use cases.</li><li>Defining evaluation frameworks and quality metrics for AI-generated outputs.</li><li>Collaborating with product and engineering teams to integrate AI solutions into live systems.</li><li>Contributing to AI architecture decisions and mentoring more junior engineers and data scientists.</li></ul>Your work will focus on delivering high-impact AI solutions, including:<ul><li>Customer and internal chatbots powered by LLMs.</li><li>Intelligent knowledge retrieval and question-answering systems.</li><li>Voice and chat-based automation to reduce cost-to-serve.</li><li>AI tools that improve customer experience, retention and operational efficiency.</li></ul> What We’re Looking For<ul><li>Strong experience building applied AI or machine learning systems in production environments.</li><li>Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries).</li><li>Practical experience with LLMs, RAG architectures, embeddings and transformers.</li><li>Experience deploying models using cloud infrastructure and working with microservices or APIs.</li><li>Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement.</li><li>Strong communication skills and the ability to translate business problems into AI-driven solutions.</li><li>A collaborative mindset and experience working with both technical and non-technical stakeholders.</li></ul> If this role looks of interest, apply below.

Question	Topic	Difficulty	Ask Chance
Random Bucketing	A/B Testing	Medium	Very High
Changing Composer	A/B Testing	Easy	Very High
Netflix Retention	Product Sense & Metrics	Hard	Very High

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