CrawlJobs Logo

Senior Scientist, Marketplace

uber.com Logo

Uber

Location Icon

Location:
United States , New York

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

190000.00 - 211000.00 USD / Year

Job Description:

End-to-end product development from a data, analytics, modeling, and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.

Job Responsibility:

  • Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference
  • Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability
  • Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives
  • Design and analyze experiments, present results that provide actionable recommendations
  • Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms
  • Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners
  • Owning the product development cycle end-to-end from data and science aspects

Requirements:

  • Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
  • 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.)
  • Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)
  • Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
  • Coding and SQL proficiency, and ability to develop statistical analysis and algorithm prototyping in Python or R
  • Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

Nice to have:

  • Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields
  • Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  • Experience in leading key technical projects and substantially influencing the scope and output of others
  • Thought leadership to drive multi-functional projects from concept to production
  • Experience in large-scale marketplace algorithm design, membership/consumer growth, or experimentation platform
  • Experience with exploratory data analysis, statistical analysis and model development
  • Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
What we offer:
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Scientist, Marketplace

Senior Data Scientist, Marketplace

You will join a team dedicated to driving innovation and optimizing our dynamic ...
Location
Location
United States
Salary
Salary:
177000.00 - 208000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of relevant industry experience, or 2+ years with a PhD
  • Background in economics, statistics, and experimentation
  • A PhD or Master’s in economics or a related field is valued
  • Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
  • Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
  • Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels
Job Responsibility
Job Responsibility
  • Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
  • Delivering data and insights to enable the company’s supply growth efforts
  • Crafting models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning
  • Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions
  • Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success
  • Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

At Zenjob, you’ll work on data products that actually ship and shape how thousan...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
foodlabs.com Logo
FoodLabs & Atlantic Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of applied Data Science experience, ideally in marketplaces or other matching-heavy environments
  • A curious, proactive, impact-driven mindset with strong business acumen
  • Enjoy working in environments where things move fast, priorities evolve, and iteration happens quickly
  • Solid ML expertise in scoring, ranking, and optimization techniques used in matching and allocation systems
  • Experience building forecasting models using time-series and probabilistic approaches
  • Strong experimentation skills, including A/B testing and quasi-experimental methods, with the ability to interpret results clearly
  • Proficiency in SQL and Python with the ability to move from exploration to production
  • Clear communication and strong product thinking, able to influence decisions and define success metrics
Job Responsibility
Job Responsibility
  • Shape product decisions: Data should guide decisions from the start. You will proactively explore our data to identify product opportunities, inefficiencies, and growth levers. You’ll translate complex findings into actionable insights that help PMs and business leaders prioritize what truly matters
  • Forecast marketplace dynamics: Strong forecasting prevents shortages and overbooking. You will model supply and demand patterns using robust time-series and probabilistic methods that support planning and operational decisions
  • Improve matching efficiency: Better matching means higher fill rates, happier customers, and less manual work. You will build and refine ranking and allocation models so the right talent reaches the right job quickly and reliably, whether through ML or other data-driven methods
  • Experiment with confidence: Good experiments beat guesses. You will design and run end-to-end experiments using methods suited for a two-sided marketplace (A/B, quasi-experimental approaches, switchbacks, holdouts) and interpret results with clarity
  • Ship models that matter: Models only matter when users benefit from them. You will own the process of turning analyses or models into production, working with engineering on monitoring, fallback strategies, and safe rollouts
What we offer
What we offer
  • 28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days)
  • 1 day of special leave for community service
  • 5 days of paid educational leave
  • Possibility of unpaid leave
  • Hybrid working model
  • Dog-friendly office
  • Annual training budget of EUR 750
  • Mentoring opportunities
  • Constant career development conversations
  • 30 EUR Urban Sports Club grant per month
Read More
Arrow Right

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...
Location
Location
France , Paris; Bordeaux
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 4 years’ experience as a Data Scientist
  • Strong hands-on NLP and applied ML in industry
  • Experience deploying Machine Learning algorithms to production
  • Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
  • Fluent in Python and TensorFlow and/or PyTorch
  • Experience with Spark development
  • Pragmatic, data-driven, and business-oriented
  • Takes full ownership of topics, works autonomously, and is a great team player
  • Brings a positive mindset: respect and kindness are core values
  • Enjoys sharing work through internal talks, conferences, or writing
Job Responsibility
Job Responsibility
  • Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
  • Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
  • Analyze and prepare data, prototype algorithms
  • Put algorithms into production with Data Engineers and dev teams
  • Build dashboards to demonstrate algorithm performance and monitor production
  • Present results at the weekly data science meeting and join team brainstorms
  • Partner with other teams to refine use cases, user experience, and integration paths
  • Fulltime
Read More
Arrow Right

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...
Location
Location
France , Bordeaux; Paris
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 4 years’ experience as a Data Scientist
  • Strong hands-on NLP and applied ML in industry
  • Experience deploying Machine Learning algorithms to production
  • Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
  • Knowledge of the latest LLMs is a plus
  • Fluent in Python and TensorFlow and/or PyTorch
  • Experience with Spark development
  • Pragmatic, data-driven, and business-oriented
  • Takes full ownership of topics, works autonomously, and is a great team player
  • Brings a positive mindset: respect and kindness are core values
Job Responsibility
Job Responsibility
  • Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
  • Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
  • Analyze and prepare data, prototype algorithms
  • Put algorithms into production with Data Engineers and dev teams
  • Build dashboards to demonstrate algorithm performance and monitor production
  • Present results at the weekly data science meeting and join team brainstorms
  • Partner with other teams to refine use cases, user experience, and integration paths
What we offer
What we offer
  • Build algorithms that visibly impact 500+ e-commerce/marketplace sites in 40 countries
  • Work with cutting-edge techniques (multimodal models, LLM fine-tuning, etc.)
  • Real autonomy and ownership over your projects
  • Fulltime
Read More
Arrow Right

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...
Location
Location
France , Bordeaux
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Background in machine learning, mathematics, computer science (or a related field)
  • 6-8 years of experience in a similar position
  • Significant experience in applied ML in a business setting
  • Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
  • Proficient in Python, Tensorflow, and/or PyTorch
  • Pragmatic, data-driven, and business-oriented with good team spirit
  • Like to take ownership of projects and are curious
  • Positive attitude: respect and kindness are part of your values
Job Responsibility
Job Responsibility
  • Prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams
  • Analyze and prepare data, prototype algorithms
  • Put them into production in collaboration with Data Engineers and development teams
  • Create dashboards to illustrate the relevance of algorithms and monitor production
  • Present results at weekly data science meetings and participate in team brainstorming sessions
  • Liaise with other teams to refine use cases, user experience, and integration methods
  • Fulltime
Read More
Arrow Right

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...
Location
Location
France , Paris or Bordeaux
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Background in machine learning, mathematics, computer science (or a related field)
  • 6-8 years of experience in a similar position
  • Significant experience in applied ML in a business setting
  • Good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
  • Proficient in Python, Tensorflow, and/or PyTorch
  • Pragmatic, data-driven, and business-oriented with good team spirit
  • Like to take ownership of projects and are curious
  • Have a positive attitude: respect and kindness are part of your values
Job Responsibility
Job Responsibility
  • Analyze and prepare data, prototype algorithms
  • Put them into production in collaboration with Data Engineers and development teams
  • Create dashboards to illustrate the relevance of algorithms and monitor production
  • Present results at weekly data science meetings and participate in team brainstorming sessions
  • Liaise with other teams to refine use cases, user experience, and integration methods
  • Fulltime
Read More
Arrow Right

Senior Data Scientist - Marketing

Bumble Inc. is seeking an experienced Senior Marketing Data Scientist to lead an...
Location
Location
United States , Austin
Salary
Salary:
190000.00 - 215000.00 USD / Year
bumble.com Logo
Bumble Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant experience in marketing analytics / growth / UA data science (typically 5+ years, or equivalent depth), ideally in a high-scale consumer tech environment
  • Deep knowledge of: Mobile attribution and tracking (including SKAN realities and limitations)
  • Channel-level nuance (search, social, display, video, affiliates, ASA, etc.) and measurement pitfalls
  • Incrementality testing best practices and causal thinking
  • MMM (design, calibration, interpretation, and how to operationalise insights)
  • LTV / cohort modelling, payback, ROI, and quality-adjusted acquisition approaches (not just CPI/CAC)
  • Strong Python and SQL skills
  • ability to build repeatable analytical workflows and robust datasets
  • Strong communication and stakeholder leadership. Able to influence decision-making up to senior/executive level and align cross-functional partners on measurement strategy
  • Experience partnering with data engineering on ingestion, warehousing, and data model requirements for automated reporting and measurement
Job Responsibility
Job Responsibility
  • Act as the senior analytical authority for Marketing/UA setting measurement strategy, prioritising work, and guiding stakeholders on “what good looks like” across channels and markets
  • Own and evolve best practices and standards for: Attribution and measurement across privacy constraints (incl. SKAN)
  • Incrementality and experimentation (A/B, geo, holdout designs
  • test hygiene and interpretation)
  • Performance monitoring and outcome reporting
  • Budget allocation decision support and learning agendas
  • Provide thought leadership & work with external vendors on modelling approaches such as MMM, cohort-based LTV modelling, payback/ROI, and quality-adjusted acquisition metrics (beyond CPI/CAC)
  • Partner with Data Engineering / Analytics Engineering to ensure marketing data is reliable, scalable, and supports multiple outputs (dashboards, models, analyses), including governance and clear metric definitions
  • Translate ambiguous stakeholder needs into crisp analytical briefs, proactively shaping scope, asking the right questions, and staying focused on the “so what” and decision impact
  • Mentor analysts and data scientists
What we offer
What we offer
  • Medical
  • Dental
  • Vision
  • 401(k) match
  • Unlimited Paid Time Off Policy
  • Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more
  • 26 Weeks Parental Leave: For both primary and secondary caregivers
  • Family & Compassionate Leave: Inclusive of domestic violence recovery
  • Unlimited Paid Time Off: Take the time you need
  • Company-wide Week Off: Annual collective rest for the entire company
  • Fulltime
Read More
Arrow Right

Senior Product Manager, Checkout

We are looking for a Senior Product Manager to lead our Checkout Pod. This team ...
Location
Location
Poland
Salary
Salary:
Not provided
tripadvisor.com Logo
Tripadvisor
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in Product Management, preferably in online marketplaces
  • Proven experience shipping features in transactional or checkout flows across multiple surfaces, including native apps and web
  • A track record of running A/B tests that actually moved the needle on conversion or revenue
  • Experience working in a 'Pod' or cross-functional team model
Job Responsibility
Job Responsibility
  • Drive Velocity & Strategy: Own the end-to-end testing cycle for the Checkout Pod
  • Lead the Roadmap: Create and deliver a comprehensive product roadmap for checkout and post-booking experiences
  • Work Across Surfaces: Lead checkout and confirmation flows across web and mobile app platforms (iOS/Android)
  • Navigate Ambiguity: Comfortably operate in situations where technical, regulatory, or business constraints are evolving
  • Stakeholder Engagement: Build strong relationships with key stakeholders across Payments, Fraud, Loyalty, App, and Brand teams
  • Collaborate with your Pod: Act as the product lead for a cross-functional team of engineers, designers, researchers, and data scientists
What we offer
What we offer
  • Competitive compensation packages
  • “Work your way” with flexibility to suit your lifestyle
  • Flexible schedule
  • Donation matching
  • Tuition assistance
  • Lifestyle benefit
  • Travel perks
  • Employee assistance program
  • Health benefits
  • Generous referral scheme
  • Fulltime
Read More
Arrow Right