CrawlJobs Logo

Senior Data Scientist, Marketplace

airbnb.com Logo

Airbnb

Location Icon

Location:
United States

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

177000.00 - 208000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace. As a Senior Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace.

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

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
What we offer:
  • bonus
  • equity
  • benefits
  • Employee Travel Credits

Additional Information:

Job Posted:
December 16, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Airbnb - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for Senior Data Scientist, Marketplace

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

Senior Software Engineer

Online advertising powers many of the free online experiences we rely on—search,...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master's degree in computer science or related technical field AND 6+ years of engineering experience
  • Strong coding proficiency in C/C++, C#, or Java
  • Experience building backend services, distributed systems, or high-scale APIs
  • Hands-on experience with big data technologies such as Kafka, Hadoop, Spark, ADLS, or similar
  • Strong debugging, problem-solving, and systems thinking capability
  • Solid analytical skills with experience using SQL, KQL, Hive, or similar for production investigations
  • Knowledge in some of the following areas: Machine Learning, Quantitative Analysis, Big Data Analytics, Business Analytics, Regression Modelling, Predictive Modelling, and Analytical Decision-Making
Job Responsibility
Job Responsibility
  • Analyse auction logs, marketplace signals, and system telemetry to diagnose KPI shifts and revenue trends
  • Investigate anomalies through large-scale data analysis (Hive/Presto/KQL/ADX) and propose data-driven fixes
  • Identify revenue opportunities through statistical analysis, hypothesis testing, and metric deep dives
  • Partner with data scientists to validate models, tune pricing logic, or refine optimization algorithms
  • Build APIs, microservices, and high-performance data pipelines that integrate with partners, marketplaces, and real-time decision workflows
  • Improve system observability using telemetry instrumentation, dashboards, tracing, and logs
  • Lead deep-dive debugging efforts during production issues—correlating system states, data patterns, and infrastructure behaviour
  • Own live-site operations including on-call rotations, root-cause analysis, and long-term reliability improvements
  • Drive performance tuning to reduce latency, eliminate bottlenecks, and enhance service health
  • Collaborate closely with PMs, data scientists, analysts, and engineering leaders to align technical execution with business metrics
  • Fulltime
Read More
Arrow Right

Principal Data & Analytics Scientist

We are inviting you to join the Microsoft Monetization Marketplace Management Te...
Location
Location
United States , Redmond; Mountain View; New York; Atlanta
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • OR equivalent experience
  • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
  • 5+ years of experience with real world system building and data collection, including design, coding and evaluation
  • Experience in organizational, analytical, data science skills and intuition
  • Ability to solve problems that the world has not solved before
  • Cross-group and cross-culture collaboration
  • Experience to communicate insights to senior leaders
Job Responsibility
Job Responsibility
  • Product Insights: Deliver and interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve products
  • Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components
  • Experimental Design & Implementation: Think critically about sampling and experimental design across User and Demand dimensions. Translate strategy into plans that are clear and measurable, with progress shared out to stakeholders
  • Collaboration: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
  • Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-driven workflows that influence product and service improvements
  • Make independent decisions for the team and handle difficult tradeoffs
  • Translate strategy into plans that are clear, actionable and measurable to drive impact
  • Fulltime
Read More
Arrow Right
New

Senior Machine Learning Engineer - Marketplace Pricing

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pri...
Location
Location
United States , Sunnyvale; San Francisco; Seattle; New York
Salary
Salary:
202000.00 - 224000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
  • 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
  • Proficiency in programming languages such as Python, Scala, Java, or Go
  • Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
  • Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
  • Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)
Job Responsibility
Job Responsibility
  • Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
  • Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
  • Collaborate with the team leads to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers
  • Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible for various benefits
  • Fulltime
Read More
Arrow Right

Principal Applied Scientist

As a Principal Applied Scientist, you will drive the scientific vision and execu...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.se Logo
Zalando Sverige
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A proven track record of research excellence, evidenced by peer-reviewed publications in relevant fields such as Computational Advertising, Auction Theory, Mechanism Design, or Game Theory and/or equivalent applied industry impact track
  • At least 7+ years of experience (commensurate with Principal level) in optimizing complex systems through automated algorithms, specifically within Ad Tech, Marketplaces, or related fields
  • Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning applied to bidding and budget pacing
  • Expert knowledge of productionalizing ML models within ultra-low latency constraints and experience with large-scale distributed systems
  • Strong proficiency in Python and related stack, with a solid understanding of how to architect scalable data pipelines for sparse, high-dimensional advertising data
Job Responsibility
Job Responsibility
  • Lead the research and development of our real-time bidding and allocation algorithms, optimizing for long-term platform health, advertiser performance, and user relevance
  • Advance our Auction and Mechanism Design capabilities to ensure a fair, efficient, and transparent marketplace
  • Collaborate with Product Managers, Engineers, and Analysts to translate complex business constraints into mathematical objective functions
  • Drive the long-term scientific and execution roadmap for ZMS Ad Tech and foster a culture of technical excellence
  • Mentor and grow senior level members of the team, acting as a force multiplier for our scientific community
What we offer
What we offer
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model, with flexible hours and up to 60% remote
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counselling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right

Principal Applied Scientist - ZMS

As a Principal Applied Scientist, you will drive the scientific vision and execu...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
zalando.se Logo
Zalando Sverige
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven track record of research excellence evidenced by peer-reviewed publications in relevant fields such as Computational Advertising, Auction Theory, Mechanism Design, or Game Theory and/or equivalent applied industry impact track
  • At least 7+ years of experience (commensurate with Principal level) in optimizing complex systems through automated algorithms, specifically within Ad Tech, Marketplaces, or related fields
  • Deep theoretical and technical expertise in optimization, control theory, or reinforcement learning applied to bidding and budget pacing
  • Expert knowledge of productionalizing ML models within ultra-low latency constraints and experience with large-scale distributed systems
  • Strong proficiency in Python and related stack, with a solid understanding of how to architect scalable data pipelines for sparse, high-dimensional advertising data
Job Responsibility
Job Responsibility
  • Lead the research and development of our real-time bidding and allocation algorithms, optimizing for long-term platform health, advertiser performance, and user relevance
  • Advance our Auction and Mechanism Design capabilities to ensure a fair, efficient, and transparent marketplace
  • Collaborate with Product Managers, Engineers, and Analysts to translate complex business constraints into mathematical objective functions
  • Drive the long-term scientific and execution roadmap for ZMS Ad Tech and foster a culture of technical excellence
  • Mentor and grow senior level members of the team, acting as a force multiplier for our scientific community
What we offer
What we offer
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model, with flexible hours and up to 60% remote
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counselling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy