CrawlJobs Logo

Data Scientist - Consumer Analytics

India · Job Posted December 10, 2025
Apply Position
Job Link Share

Job Description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Job Responsibility

  • Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
  • Analyzing and interpreting the findings
  • Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
  • Pre-sales activities (at senior consultant level)

Requirements

  • Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
  • Familiarity with customer analytics DS concepts or advanced forecasting
  • Model hyperparameter tuning
  • Model validation frameworks
  • Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
  • Fluency in Python, basic working knowledge of SQL
  • Knowledge of specific DS/ML libraries
  • Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
  • Basic computer programming skills and familiarity with programming concepts
  • Strong business acumen
  • Experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems
  • Ability to come up with creative solutions to address customer problems

Nice to have

  • Understanding of Causal machine learning
  • Experience in working with big data and distributed environments would be a plus
  • Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus
  • Experience with OOP in Python
  • Experience with MLOps
  • Familiarity with other languages R, Scala would be a plus
  • Previous experience in an analytical role supporting business will be a plus

What we offer

  • Stable employment
  • “Office as an option” model
  • Flexibility regarding working hours and your preferred form of contract
  • Comprehensive online onboarding program with a “Buddy” from day 1
  • Cooperation with top-tier engineers and experts
  • Unlimited access to the Udemy learning platform from day 1
  • Certificate training programs
  • Upskilling support
  • Internal Gallup Certified Strengths Coach to support your growth
  • Grow as we grow as a company
  • A diverse, inclusive, and values-driven community
  • Autonomy to choose the way you work
  • Create our community together
  • Activities to support your well-being and health
  • Plenty of opportunities to donate to charities and support the environment
  • Modern office equipment

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Scientist - Consumer Analytics

8 matching positions

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...
Location
Location
United States , San Francisco; New York City; Austin
Salary
Salary:
185300.00 - 266300.00 USD / Year
airtable.com Logo
Airtable
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
  • 6+ years of experience as a data scientist, data analyst, or data engineer
  • Experience supporting product development teams and driving product growth insight
  • Background in SaaS, consumer tech, or data-driven product environments preferred
  • Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
  • Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
  • Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
  • Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
  • Strong statistical foundation
  • Experience at an AI-native company, with exposure to building or scaling products powered by AI
Job Responsibility
Job Responsibility
  • Own and maintain core product data pipelines across DBT, Looker, and Omni
  • Build and refine dashboards that deliver self-serve, real-time insights
  • Lead the development and delivery of company-wide strategic insights
  • Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
  • Establish trusted partnerships as the go-to resource for product data insights
  • Collaborate with leadership to define the analytics roadmap and prioritize initiatives
  • Mentor junior team members and cross-functional partners
  • Support end-to-end analytics for all product launches
  • Deliver comprehensive strategic analyses or experiments
  • Lead or participate in cross-functional projects
What we offer
What we offer
  • Benefits
  • Restricted stock units
  • Incentive compensation
  • Fulltime
Read More
Arrow Right

Product Data Scientist

This is a unique opportunity to join one of the most exciting Series-A AI compan...
Location
Location
United States
Salary
Salary:
210000.00 - 260000.00 USD / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in a product analytics or data science role within a high-growth tech company
  • strong with SQL and Python (or R)
  • experience designing experiments, building metrics from scratch, and influencing product direction
  • excited by working in AI-powered products, consumer experiences, or commerce tech
Job Responsibility
Job Responsibility
  • Partner closely with product and engineering to shape the roadmap through data
  • Design and analyze A/B and multivariate tests that guide product and UX decisions
  • Build and maintain the core metrics, dashboards, and experimentation frameworks that define success
  • Surface actionable insights from behavioral data and help translate numbers into strategy
What we offer
What we offer
  • meaningful equity
  • Fulltime
Read More
Arrow Right

Product Data Scientist

This is a unique opportunity to join one of the most exciting Series-A AI compan...
Location
Location
United States
Salary
Salary:
210000.00 - 260000.00 USD / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in a product analytics or data science role within a high-growth tech company
  • strong with SQL and Python (or R)
  • experience designing experiments, building metrics from scratch, and influencing product direction
  • excited by working in AI-powered products, consumer experiences, or commerce tech
Job Responsibility
Job Responsibility
  • Partner closely with product and engineering to shape the roadmap through data
  • Design and analyze A/B and multivariate tests that guide product and UX decisions
  • Build and maintain the core metrics, dashboards, and experimentation frameworks that define success
  • Surface actionable insights from behavioral data and help translate numbers into strategy
What we offer
What we offer
  • meaningful equity
  • Fulltime
Read More
Arrow Right

Junior Data Scientist

Aramark Sports + Entertainment is hiring a Junior Data Scientist - Oracle Park, ...
Location
Location
United States , San Francisco
Salary
Salary:
70000.00 - 95000.00 USD / Year
aramark.com Logo
Aramark
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Must be legally authorized to work in the United States without the need for current or future employment-based sponsorship from Aramark
  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field
  • equivalent practical experience may be considered
  • 1–3 years of experience in an analytical or data science role
  • Proficiency in data manipulation and transformation using Python or R
  • Familiarity with SQL for data querying and analysis
  • Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling
  • Effective organizational and time management skills, with the ability to manage multiple projects simultaneously
  • Solid understanding of statistics, experimental design, and core data science concepts
  • Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Analyze consumer behavior at Oracle Park by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences
  • Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations
  • Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations
  • Support the development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants
  • Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives
  • Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Lead Data Scientist
What we offer
What we offer
  • medical, dental, vision, and work/life resources
  • retirement savings plans like 401(k)
  • paid days off such as parental leave and disability coverage
  • Fulltime
Read More
Arrow Right

Senior Manager, Product Analytics

As we scale, we’re investing deeply in data, experimentation, and analytics to i...
Location
Location
United States , New York
Salary
Salary:
200000.00 - 230000.00 USD / Year
clearme.com Logo
Clear
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years experience in product analytics, data science, business analytics, or related fields with 2+ years leading teams
  • Proven track record standing up or significantly scaling product analytics and experimentation capabilities in a tech or consumer product environment
  • Fluency in SQL, experiment design (statistical rigor, power analysis, etc.), attribution, funnel & cohort analysis, and metric design
  • Experience with leading decisions around third party experimentation tooling
  • Strong hands-on experience with product analytics tools (e.g. Heap, Amplitude, Mixpanel, etc.) and BI / dashboarding systems
  • Solid understanding of data infrastructure, ETL pipelines, event logging, data governance, and how to ensure data integrity
  • Exceptional communicator: you can translate complex analyses into clear, compelling narratives that drive decisions
  • Strategic but pragmatic: you know when to ship “good enough” and when to perfect
  • Bias for action, comfort with ambiguity, and willingness to get your hands dirty
  • Leadership presence, collaborative spirit, and the ability to influence across functions
Job Responsibility
Job Responsibility
  • Drive adoption of CLEAR’s front-end measurement and tracking framework: taxonomy, event definitions, data governance, instrumentation standards
  • Standardize the workflow around experimentation across our product surfaces
  • Build reliable analytics pipelines in collaboration with Data Engineering, ensuring data quality, consistency, and scalability
  • Define and socialize core metrics and KPIs across product lines and verticals
  • Deliver dashboards and analyses that distill complexity into clarity for product teams, leadership, and business stakeholders
  • Create frameworks for feature evaluation, long-term holdout analyses, funnel optimization, and user behavior deep dives
  • Empower teams via self-service tooling and documented analytics processes
  • Build learning loops: lead post-mortems, root-cause analyses, and knowledge sharing across the org
  • Build, lead, and grow a team of product analysts and data scientists
  • Mentor and elevate analyst capabilities
What we offer
What we offer
  • Competitive compensation
  • Equity
  • Professional development support
  • Comprehensive healthcare plans
  • Family-building benefits (fertility and adoption/surrogacy support)
  • Flexible time off
  • Annual wellness stipend
  • Free OneMedical memberships for you and your dependents
  • A CLEAR Plus membership
  • 401(k) retirement plan with employer match
  • Fulltime
Read More
Arrow Right

Lead Data Scientist - Clinical Informatics (Clinical Data Standards)

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , New York
Salary
Salary:
130295.00 - 260590.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 29, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Deep expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
  • Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
  • Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Serve as a subject matter expert in clinical data, including CCD data, with deep understanding of how to structure and apply this data to solve healthcare problems
  • Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization
  • Develop and govern the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases
  • Enable self-service analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data
  • Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets
  • Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders
  • Partner with clinical, operational, and business stakeholders to understand their data needs, translate requirements into data solutions, and ensure clinical data assets meet their analytical objectives
  • Lead and mentor data scientists, data analysts, and data engineers, providing guidance on clinical data interpretation, appropriate use, and best practices for working with healthcare data
  • Establish data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability
  • Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data
What we offer
What we offer
  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • CVS Health bonus, commission or short-term incentive program
  • Award target in the company’s equity award program
  • Fulltime
Read More
Arrow Right

Lead Data Scientist - Clinical Informatics (Claims Specialization)

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , Work at Home, New York
Salary
Salary:
130295.00 - 260590.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 29, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Deep expertise in clinical data types and structures, including medical claims, pharmacy claims, lab results, clinical notes, and administrative healthcare data
  • Knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers through documentation, training, and consultative support
  • Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Serve as a subject matter expert in clinical data, including claims, pharmacy, lab results, and clinical documentation
  • Design and maintain clinical data models, taxonomies, and classification frameworks
  • Develop and govern the claims data feature store
  • Enable self-service analytics by building well-documented, validated, and reusable data assets
  • Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines
  • Partner with clinical, operational, and business stakeholders to understand their data needs
  • Lead and mentor data scientists, data analysts, and data engineers
  • Establish data quality frameworks for clinical data
  • Translate clinical concepts into analytical frameworks
  • Collaborate with data engineering teams to inform data pipeline development
What we offer
What we offer
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • bonus, commission or short-term incentive program
  • equity award program
  • Fulltime
Read More
Arrow Right

Data Product Manager - Claims

Are you looking for a new challenge? Fancy helping us shape the future of motor ...
Location
Location
Italy , Milan
Salary
Salary:
Not provided
prima.it Logo
Prima
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven Experience (2-3 years): You have a background in Data Product Management, or analogous roles
  • Analytical Mindset: You are "data-native." You think in terms of metrics, data quality, and model performance, and you know how to measure the success of a data product
  • Strategic Coordination: You excel at managing complex dependencies and demanding Product Stakeholders. You can align with an Infrastructure peer on technical constraints while keeping business stakeholders focused on the value proposition
  • Technical Fluency: Previous experience in a technical hands-on role such as Data Analysis, Data Scientist, Data Engineer, or Software Developer. You are comfortable discussing APIs, data pipelines, and machine learning workflows with engineers and data scientists without getting lost in translation
  • Communication & Leadership: You can tell a story with data, persuading others and driving consensus across different departments and seniority levels
Job Responsibility
Job Responsibility
  • Bridge Stakeholders & Tech: Act as the primary interface between Data Consumers (Data Scientists, Business Analysts, …), and Engineering to ensure data products are scalable, reliable, and aligned with company goals
  • Own the Data Lifecycle: Oversee the end-to-end process of Data Product development, from initial discovery and modelling to monitoring performance and impact
  • Drive Data Product discoverability and self-serving: support self-serving of Data Products, by continuously improving the tools (e.g., data catalog, data dictionary), and the Data Product consumer orientation
  • Manage data quality + change: define quality checks, monitoring, and alerting, communicate breaking changes proactively
  • Foster a Data Culture: Translate complex technical concepts into actionable business insights, ensuring that every product decision is backed by solid data evidence
What we offer
What we offer
  • Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year
  • Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you
  • Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support
Read More
Arrow Right