CrawlJobs Logo

Staff Data Scientist, Marketplace

airbnb.com Logo

Airbnb

Location Icon

Location:
United States

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

194000.00 - 240000.00 USD / Year

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.

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
  • Providing mentorship to other data scientists
  • Crafting models to accurately forecast key marketplace metrics
  • Utilizing cutting-edge causal inference techniques to quantify the impact of changes in supply and demand
  • Collaborating with teams across product, engineering, and operations to integrate data science insights
  • Engaging with stakeholders to understand their business objectives and provide data-driven solutions

Requirements:

  • 9+ years of relevant industry experience
  • Master’s degree or PhD in a quantitative field
  • Strong fluency in Python or R for hands-on IC work
  • 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
  • Proven ability to succeed 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
Job Link Share:

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

Briefcase Icon

Similar Jobs for Staff Data Scientist, Marketplace

Staff Data Scientist - Algorithms

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Menlo Park
Salary
Salary:
217000.00 - 255000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience applying ML in production, ideally in growth, incentives, marketplace, or personalization domains
  • Proven track record owning models end-to-end — from design and development to deployment and iteration
  • Deep expertise in predictive modeling, uplift modeling, causal inference, and experimentation design
  • Strong technical skills in Python, SQL, and ML frameworks (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow)
  • Experience working with Airflow and production pipelines, as well as tools for causal ML and experimentation
  • Excellent product intuition and ability to translate ambiguous goals into measurable algorithmic solutions
  • Strong communication and stakeholder management skills, with the ability to influence across teams
  • A collaborative and growth-minded approach, with strong technical leadership and a consistent focus on impact and ROI
Job Responsibility
Job Responsibility
  • Build, deploy, and iterate on predictive and causal models for incentive targeting
  • Design and evaluate experiments to measure incremental impact, payback, and ROI of promotional programs
  • Partner cross-functionally with Product, Finance, Marketing, and Engineering to inform scalable incentive strategies
  • Design and optimize incentive allocation algorithms under budget and policy constraints to maximize incremental impact
  • Monitor production systems, analyze user behavior, and propose algorithmic and policy improvements
  • Influence the long-term vision for growth modeling at Robinhood, including personalization and cross-sell optimization
What we offer
What we offer
  • Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet – a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces
  • Fulltime
Read More
Arrow Right

Staff Data Scientist - Algorithms

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Menlo Park
Salary
Salary:
217000.00 - 255000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience applying ML in production, ideally in growth, incentives, marketplace, or personalization domains
  • Proven track record owning models end-to-end — from design and development to deployment and iteration
  • Deep expertise in predictive modeling, uplift modeling, causal inference, and experimentation design
  • Strong technical skills in Python, SQL, and ML frameworks (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow)
  • Experience working with Airflow and production pipelines, as well as tools for causal ML and experimentation
  • Excellent product intuition and ability to translate ambiguous goals into measurable algorithmic solutions
  • Strong communication and stakeholder management skills, with the ability to influence across teams
  • A collaborative and growth-minded approach, with strong technical leadership and a consistent focus on impact and ROI
Job Responsibility
Job Responsibility
  • Build, deploy, and iterate on predictive and causal models for incentive targeting
  • Design and evaluate experiments to measure incremental impact, payback, and ROI of promotional programs
  • Partner cross-functionally with Product, Finance, Marketing, and Engineering to inform scalable incentive strategies
  • Design and optimize incentive allocation algorithms under budget and policy constraints to maximize incremental impact
  • Monitor production systems, analyze user behavior, and propose algorithmic and policy improvements
  • Influence the long-term vision for growth modeling at Robinhood, including personalization and cross-sell optimization
What we offer
What we offer
  • Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet – a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces
  • Fulltime
Read More
Arrow Right

Staff Data Scientist, Pricing

You will contribute to the development of a pricing guidance system for hosts, a...
Location
Location
United States
Salary
Salary:
194000.00 - 240000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree in Computer Science, Statistics, Econometrics or related field
  • 9+ years of industry experience with Masters and 6+ years with a PhD
  • Experience with experimentation, causal observational analysis, and pricing systems/marketplaces
  • Strong coding skills in SQL and either Python or R
  • Comfort with developing proof-of-concept prototypes
  • Proven ability to succeed in both collaborative and independent work environments, autonomously set a roadmap for business impact
  • Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience
Job Responsibility
Job Responsibility
  • Collaborating with product and cross-functional teams to pioneer pricing strategies and guidance for hosts, translating advanced modeling into actionable recommendations
  • Developing foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact
  • Crafting compelling data narratives to surface actionable insights, empower data-driven decision making, and influence the future direction of Airbnb’s pricing ecosystem
  • Developing a deep understanding of how hosts think about pricing and navigate and re-engage with our app via analysis and research
  • Growing a strong relationship with cross-functional partners in Product, Engineering and Analytics
  • Writing software (Python, SQL, R) to model, simulate and measure the impact of new pricing features
  • Creatively diving into data to understand the differential effects of pricing feature launches and turning that understanding into clear insights
  • Communicating learnings and insights to leaders and partners in a simple and lucid way
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

Staff Data Scientist, Listing Understanding

Listing Understanding Data Science develops a holistic understanding of listing ...
Location
Location
United States
Salary
Salary:
194000.00 - 240000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of industry experience in applied Machine Learning, with experience in Computer Vision, preferably including CLIP and ViT
  • Causal inference expertise, preferably with marketplace experience
  • Advanced degree in Computer Science, Statistics, Econometrics or related field
  • Strong in XFN communication with partners in product, engineering, and design
  • Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL
  • Comfort with developing proof-of-concept prototypes
  • Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems
  • Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
  • Proven ability to succeed in both collaborative and independent work environments
  • Demonstrated willingness and track record of engagement with the technical community
Job Responsibility
Job Responsibility
  • Size business opportunities and develop the roadmap for investments in CV and multimodal listing understanding and integration into product experiences
  • Leverage photos and related structured and unstructured data to build and continuously improve listing understanding
  • Build causal models to understand how photos impact guest search and drive bookings and trip quality
  • Stay up to date with SoT models and prototype machine learning product features and iterate with engineering, product, and design
  • Develop and implement assessment frameworks for CV and multimodal modeling improvements to ensure that they are safe and effective
  • Measure the business value of our work through experimentation and causal analysis
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...
Location
Location
United States , Chevy Chase; New York City
Salary
Salary:
115000.00 - 260000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
  • an advanced degree (master’s or Ph.D.) is highly desirable
  • 6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
  • 6+ years of experience working with cloud platforms such as Azure and AWS
  • Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
  • 6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
  • Deep understanding of Docker, container optimization, and multi-stage builds
  • Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
  • 3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
  • Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence
Job Responsibility
Job Responsibility
  • Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
  • Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
  • Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
  • Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
  • Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
  • Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
  • Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
  • Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
  • Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
  • Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer - Mobility Verticals

Uber is looking for an exceptional ML engineer to join our Mobility Marketplace ...
Location
Location
United States , Seattle, Washington
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D., M.S. or Bachelors degree in Computer Science, Machine Learning, Operations Research or a related technical field
  • Minimum 6 years of experience leading deployment of ML models in large-scale production environments
  • Proficiency in one or more programming languages such as Python, Scala, Java or Go
  • Experience with distributed data systems such as Spark, Ray, and real-time processing frameworks
  • Expertise in developing demand forecasting, matching algorithms, or pricing systems for multi-sided marketplaces
  • Deep understanding of modern ML techniques, including deep neural networks, time series forecasting, and mathematical optimization
Job Responsibility
Job Responsibility
  • Lead technical strategy across 1+ year time horizons, setting the vision for vertical-specific marketplace optimization
  • Design and build end-to-end ML solutions for demand forecasting, supply balancing, and matching optimization in large-scale distributed systems
  • Develop sophisticated forecasting and matching approaches that combine machine learning with mathematical optimization and game theory
  • Collaborate closely with cross-functional teams of engineers, data scientists, and product managers to deliver high-impact business solutions across three critical verticals: Airport Marketplace: Demand forecasting, supply/demand balancing, driver earnings prediction, and matching algorithms
  • Reserve: Scheduled ride demand forecasting, supply balancing, driver price surge, and matching optimization
  • Shared Rides: Shared ride marketplace optimization including Rider/Driver behavior, pricing, pooling algorithms and route optimization
What we offer
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
  • Fulltime
Read More
Arrow Right

Sr. Staff Engineer, Matching & Segmentation

We are seeking a Sr. Staff Engineer and Tech Lead to join Uber's Mobility Matchi...
Location
Location
United States , San Francisco
Salary
Salary:
267000.00 - 297000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
  • 8-10+ years of professional software development experience, building and operating systems in production environments
  • Strong knowledge of backend development, distributed systems, and system design for large-scale, low-latency applications
  • Experience with ML systems, optimization algorithms, or real-time decision systems in production
  • Demonstrated ability to lead complex, multi-team technical initiatives with significant cross-org dependencies
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams including Product, Science, and Operations
  • Proven ability to mentor and elevate other engineers, including Senior and Staff-level ICs
Job Responsibility
Job Responsibility
  • Be the Tech Lead for a complex domain within Matching & Segmentation, setting technical direction and driving architecture decisions across matching algorithms, segmentation models, forecasting systems, and real-time marketplace infrastructure
  • Design, develop, and deploy ML and optimization systems that solve high-impact business problems at scale — including real-time matching, reinforcement learning-based dispatch, and experiment-driven product development
  • Lead projects that span across orgs (e.g., matching, driver pricing, rider pricing, surge, platform) with significant cross-org dependencies and design complexity
  • Collaborate closely with Scientists, Product Managers, and peer engineering teams to define technical strategy, translate business requirements into system designs, and deliver high-quality solutions
  • Drive ongoing improvements in system reliability, performance, scalability, and efficiency through strong engineering practices, automation, and observability
  • Mentor and grow engineers across the organization, including Senior and Staff engineers, raising the technical bar and fostering a culture of engineering excellence
  • Contribute to the design and evolution of Uber's large-scale experimentation infrastructure, including Switchback experiments that power marketplace optimization decisions
  • Deliver and review technical designs, code, and documentation to a high standard, and champion best practices in data management, data quality, and service deployment
What we offer
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
  • Fulltime
Read More
Arrow Right
New

Pharmacy Technician

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , Drexel Hill
Salary
Salary:
Not provided
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 22, 2026
Flip Icon
Requirements
Requirements
  • Must comply with any state board of pharmacy requirements or laws governing the practice of pharmacy, which includes but is not limited to, age, education, and licensure/certification
  • If the state board of pharmacy does not address or mandate a minimum age requirement, must be at least 16 years of age
  • If the state board of pharmacy does not address or mandate a minimum educational requirement, must have a high school diploma or equivalent, or be actively enrolled in high school or high school equivalency program
  • State-level licensure and national certification requirements vary by state, click here to learn more
  • Regular and predictable attendance, including nights and weekends
  • Ability to complete required training within designated timeframe
  • Attention and Focus
  • Customer Service and Team Orientation
  • Communication Skills
  • Mathematical Reasoning
Job Responsibility
Job Responsibility
  • Living our purpose by following all company SOPs at each workstation to help our Pharmacists manage and improve patient health
  • Following pharmacy workflow procedures at each pharmacy workstation (i.e., production, pick-up, drive-thru, and drop-off) for safe and accurate prescription fulfillment
  • Contributing to positive patient experiences by showing empathy and genuine care
  • Completing basic inventory activities, as permitted by law, and as directed by the pharmacy leadership team
  • Contributing to a high-performing team, embracing a growth mindset, and being receptive to feedback
  • Remaining flexible for both scheduling and business needs, while contributing to a safe, inclusive, and engaging team dynamic
  • Understanding and complying with all relevant federal, state, and local laws, regulations, professional standards, and ethical principles
  • Delivering additional patient health care services (e.g., immunizations, point-of-care testing, and voluntarily staffing offsite clinics), where allowable by law and supported by required training and certification
  • Where permissible, the Pharmacy Technician may also support immunizations, which includes the following responsibilities: Completing additional licensure and training requirements, in compliance with state Board of Pharmacy regulations, to obtain Technician Immunizer status to support preparing and administering vaccines
  • Educating patients about the importance of vaccines and referring patients to the Pharmacist-on-duty for vaccination questions
What we offer
What we offer
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • and other resources, based on eligibility
  • Fulltime
Read More
Arrow Right