Senior Scientist, Marketplace Job at Uber (New York)

Senior Data Scientist, Marketplace

You will join a team dedicated to driving innovation and optimizing our dynamic ...

Location

United States

Salary:

177000.00 - 208000.00 USD / Year

Airbnb

Expiration Date

Until further notice

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

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

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Data Scientist

At Zenjob, you’ll work on data products that actually ship and shape how thousan...

Location

Germany , Berlin

Salary:

Not provided

FoodLabs & Atlantic Labs

Expiration Date

Until further notice

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

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

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

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

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

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

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...

Location

France , Bordeaux; Paris

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

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

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

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

Staff Data Scientist (Fraud, Risk)

Uber is looking for an experienced and motivated Scientist to join our Global Sa...

Location

Brazil , Sao Paulo

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Senior and/or Staff seniority working as a Data Scientist, Applied Scientist, or Machine Learning Engineer
Experience building and deploying Binary Classification systems in production for large-scale, high-stakes applications (e.g., Fraud, Safety, or Risk)
Deep experience in Experimental Design beyond classical A/B testing, including Quasi-experiments (Diff-in-Diff, Synthetic Control) or Marketplace experiments (Switchbacks)
Expertise in handling Extreme Class Imbalance and optimizing models for rare event detection
Experience using Python and SQL to work with massive, high-dimensional data sets at scale
Solid foundation in Statistical Methodologies such as probability calibration, sampling, and hypothesis testing

Job Responsibility

Conduct thorough analyses of large, imbalanced datasets to identify trends, patterns, and opportunities for improving safety incident detection
Design, implement, and optimize binary classification models and algorithms to predict the probability of high-severity incidents
Generate actionable insights from risk data and communicate findings to stakeholders, balancing safety interventions with marketplace growth
Work as a thought expert for your cross-functional partners (Product, Ops, and Engineering), pushing the boundaries of how Uber defines and mitigates risk
Design complex experiments (Diff-in-Diff, Synthetic Controls) and interpret results to draw impactful conclusions in a marketplace environment where classical A/B testing is often not feasible
Define how your cross-functional team measures success by developing Safety & Risk metrics (e.g., Recall, Precision-Recall AUC, Probability Calibration) in partnership with global stakeholders
Stay current with the latest advancements in Supervised Learning, Causal Inference, and Anomaly Detection

Fulltime

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...

Location

France , Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

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

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

Data Scientist Senior - AI Marketplace Platform

As part of our Data team (60+ people), your main mission will be to prototype, i...

Location

France , Paris or Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

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

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

New

Senior Applied Scientist, AWS Marketplace Discovery

The AWS Marketplace team seeks a talented Applied Scientist to lead the developm...

Location

United States , New York; Austin; Seattle

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

3+ years of building machine learning models or developing algorithms for business application experience
Experience programming in Java, C++, Python or related language
Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields

Job Responsibility

Lead the research, design, and development of advanced AI/ML systems for information retrieval and personalized recommendation systems
Identify and evaluate emerging scientific techniques and technologies, translating research into practical, scalable solutions
Drive evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems
Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
Mentor Scientists and influence scientific approach across the organization

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave

Fulltime

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Senior Scientist, Marketplace

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