CrawlJobs Logo

Senior Data Scientist - Fraud/Risk

uber.com Logo

Uber

Location Icon

Location:
United States , San Francisco ▼

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

171000.00 - 190000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

We’re looking for a Senior Data Scientist to join our Risk Decision Science team. In this role, you’ll apply a data-driven approach to identify, understand, and scope emerging fraud trends across the Uber platform. As a Senior Data Scientist (L5), you will be a technical bar-raiser and a trusted domain expert for stakeholders. You won't just analyze data, you will lead critical initiatives in fraud detection and collaborate closely with cross-functional partners, including engineers, product managers, operations, and other data scientists. You will be responsible for balancing complex trade-offs between fraud mitigation and user experience to drive key performance metrics like fraud losses and false positive rates. Success will require a strong blend of business and technical acumen, along with excellent communication and collaboration skills to work effectively with both internal and external stakeholders.

Job Responsibility:

  • Apply effective techniques (ML, LLM, and experimentation) to solve a wide variety of new or existing business problems
  • Evolve our risk metrics, shape and influence our data models and instrumentation to generate insights and develop new data products and models
  • Influence the cross-functional roadmap by providing insights and recommendations that go beyond analytical considerations
  • Collaborate with Product, Engineer, Ops, and regional teams to develop long-term risk strategies
  • Tailor complex findings into compelling narratives for executive audiences
  • Document logic and risks effectively to ensure the 'why' behind your work is understood at a leadership level
  • Consistently take effective prioritization calls to maximize business impact
  • Deliver impactful and meaningful strategies to mitigate fraudulent activities and achieve key results (OKRs)
  • Hold the bar for technical excellence by conducting peer reviews and helping junior analysts develop through meaningful feedback
  • Stay highly engaged and always hustle, as Uber Risk is a very fast-paced environment

Requirements:

  • 5+ years in a data-focused role such as product analytics, business analytics, business operations, or data science
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or other quantitative fields
  • Experience in framing ambiguous business problems into structured analytical work
  • Experience in leading large cross-functional projects
  • Highly proficient in data science and visualization tools, such as SQL, Python, Tableau
  • Proficient at defining, utilizing, and communicating performance metrics
  • proven track record of applying analytical/statistical methods to solve real-world problems using big data
  • Creative problem solving, critical thinking skills, and a get-things-done attitude
  • Hands-on, data-driven, and attentive to detail

Nice to have:

  • Advanced degree in Mathematics, Statistics, Computer Science, Economics, or other quantitative fields
  • 3+ years in Risk/Fraud/Payments
  • Expertise in statistics and experimental design
  • Demonstrated ability to be an effective leader, producing high-quality work and crafting meaningful relationships
  • Team player -- this is a highly collaborative function that will work with a range of senior leaders
  • Outstanding communication and people skills -- numbers are key, but one should be able to explain the implications to an executive audience
  • Passion for Uber!
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:
March 01, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Uber - 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 - Fraud/Risk

Senior Data Scientist - Fraud

The Data team within Plaid’s Fraud organization builds the machine learning syst...
Location
Location
United States , Seattle
Salary
Salary:
214800.00 - 286800.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of total experience
  • At least 2–3 years working deeply with product analytics, machine learning, experimentation, or data-driven products
  • Strong proficiency in SQL and Python
  • Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies
  • Skilled in designing, building, and maintaining dashboards and core product performance metrics
  • Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems
  • Excellent communicator with strong stakeholder-management skills across diverse teams
Job Responsibility
Job Responsibility
  • Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements
  • Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making
  • Analyze complex datasets to uncover clear, actionable insights that shape product direction
  • Partner with go-to-market teams to demonstrate the technical and business value of our products to customers
  • Fulltime
Read More
Arrow Right
New

Senior Data Scientist

As a Senior Data Scientist at myPOS, you will be the technical cornerstone of a ...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc or PhD in Computer Science, Statistics, Applied Mathematics, Econometrics or a related quantitative field (or equivalent commercial experience)
  • 7+ years of applied data science and ML experience in a commercial environment, with a strong portfolio of models in production that drove measurable business outcomes
  • Expert Python for data science and ML engineering: pandas, scikit-learn, XGBoost / LightGBM, PyTorch or TensorFlow
  • clean, tested, modular code as a default
  • Deep expertise across the ML methodological spectrum: survival analysis, time-series and sequence modelling, uplift and causal inference, anomaly detection, and recommendation systems
  • Proven end-to-end ownership of at least three of: CLTV models, churn models, propensity models, fraud/risk models, recommendation or NBA systems - in a production commercial setting
  • Strong MLOps capability: feature stores, model registries, model serving infrastructure, drift monitoring, and CI/CD for ML pipelines
  • Deep SQL and data platform proficiency (GCP / BigQuery strongly preferred)
  • experience with streaming architectures for real-time feature generation
  • Hands-on expertise building LLM-powered applications: RAG pipelines, tool-use agents, multi-agent orchestration, and agent evaluation frameworks
Job Responsibility
Job Responsibility
  • Own the full lifecycle of complex modelling programmes across Customer & Commercial Intelligence: CLTV, Churn Prediction, Propensity to Buy, and Next Most Likely Product (NMLP)
  • Architect multi-horizon churn models and build the churn intervention scoring layer that prioritises at-risk merchants for Account Management teams
  • Lead the NMLP engine - designing and productionizing a multi-output recommendation system that identifies the next product across myPOS's full catalogue
  • Take technical ownership of core fraud model components: transaction-level classifiers, merchant behaviour anomaly detectors, and new-account fraud scorers optimised for high-throughput, low-latency inference
  • Architect and own the Next Best Action (NBA) decisioning engine - a real-time system that selects the highest-expected-value action for each merchant at every interaction
  • Design and build production-grade agentic AI systems that automate high-value analytical and operational workflows
  • Define and execute experiment designs for online evaluation - A/B tests, uplift experiments, and bandits - and analyse results with statistical rigour
  • Set and enforce technical standards across the team: code quality, reproducibility, evaluation rigour, model documentation, and MLOps practices
  • Produce high-quality model documentation and present complex modelling work clearly to stakeholders across Sales, Marketing, Risk, Product, and Operations
What we offer
What we offer
  • Vibrant international team operating in hi-tech environment
  • Excellent compensation package
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Refer a friend bonus as we know that working with friends is fun
  • Teambuilding, social activities and networks on a multi-national level
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

At myPOS, we’re all about helping businesses grow and get paid. We make payments...
Location
Location
Bulgaria , Sofia
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc or PhD in Computer Science, Statistics, Applied Mathematics, Econometrics or a related quantitative field (or equivalent commercial experience)
  • 7+ years of applied data science and ML experience in a commercial environment, with a strong portfolio of models in production that drove measurable business outcomes
  • Expert Python for data science and ML engineering: pandas, scikit-learn, XGBoost / LightGBM, PyTorch or TensorFlow
  • clean, tested, modular code as a default
  • Deep expertise across the ML methodological spectrum: survival analysis, time-series and sequence modelling, uplift and causal inference, anomaly detection, and recommendation systems
  • Proven end-to-end ownership of at least three of: CLTV models, churn models, propensity models, fraud/risk models, recommendation or NBA systems - in a production commercial setting
  • Strong MLOps capability: feature stores, model registries, model serving infrastructure, drift monitoring, and CI/CD for ML pipelines
  • Deep SQL and data platform proficiency (GCP / BigQuery strongly preferred)
  • experience with streaming architectures for real-time feature generation
  • Hands-on expertise building LLM-powered applications: RAG pipelines, tool-use agents, multi-agent orchestration, and agent evaluation frameworks
Job Responsibility
Job Responsibility
  • Own the full lifecycle of complex modelling programmes across Customer & Commercial Intelligence: CLTV, Churn Prediction, Propensity to Buy, and Next Most Likely Product (NMLP)
  • Architect multi-horizon churn models and build the churn intervention scoring layer that prioritises at-risk merchants for Account Management teams
  • Lead the NMLP engine — designing and productionizing a multi-output recommendation system that identifies the next product across myPOS's full catalogue
  • Take technical ownership of core fraud model components: transaction-level classifiers, merchant behaviour anomaly detectors, and new-account fraud scorers optimised for high-throughput, low-latency inference
  • Architect and own the Next Best Action (NBA) decisioning engine - a real-time system that selects the highest-expected-value action for each merchant at every interaction
  • Design and build production-grade agentic AI systems that automate high-value analytical and operational workflows
  • Define and execute experiment designs for online evaluation - A/B tests, uplift experiments, and bandits - and analyse results with statistical rigour
  • Set and enforce technical standards across the team: code quality, reproducibility, evaluation rigour, model documentation, and MLOps practices
  • Produce high-quality model documentation and present complex modelling work clearly to stakeholders across Sales, Marketing, Risk, Product, and Operations
What we offer
What we offer
  • Excellent compensation package
  • 25 days annual paid leave (+1 day per year up to 30)
  • Full "Luxury" package health insurance including dental care and optical glasses
  • Meal vouchers of 102.26 EUR per month
  • Fully covered Multisport card
  • Fully covered public transport pass for Sofia
  • Free coffee, snacks and drinks at the office
  • Annual salary reviews, promotions and performance bonuses
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

As a Senior Data Scientist at myPOS, you will be the technical cornerstone of a ...
Location
Location
Bulgaria , Sofia; Varna
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc or PhD in Computer Science, Statistics, Applied Mathematics, Econometrics or a related quantitative field (or equivalent commercial experience)
  • 7+ years of applied data science and ML experience in a commercial environment, with a strong portfolio of models in production that drove measurable business outcomes
  • Expert Python for data science and ML engineering: pandas, scikit-learn, XGBoost / LightGBM, PyTorch or TensorFlow
  • clean, tested, modular code as a default
  • Deep expertise across the ML methodological spectrum: survival analysis, time-series and sequence modelling, uplift and causal inference, anomaly detection, and recommendation systems
  • Proven end-to-end ownership of at least three of: CLTV models, churn models, propensity models, fraud/risk models, recommendation or NBA systems - in a production commercial setting
  • Strong MLOps capability: feature stores, model registries, model serving infrastructure, drift monitoring, and CI/CD for ML pipelines
  • Deep SQL and data platform proficiency (GCP / BigQuery strongly preferred)
  • experience with streaming architectures for real-time feature generation
  • Hands-on expertise building LLM-powered applications: RAG pipelines, tool-use agents, multi-agent orchestration, and agent evaluation frameworks
Job Responsibility
Job Responsibility
  • Own the full lifecycle of complex modelling programmes across Customer & Commercial Intelligence: CLTV, Churn Prediction, Propensity to Buy, and Next Most Likely Product (NMLP)
  • Architect multi-horizon churn models and build the churn intervention scoring layer that prioritises at-risk merchants for Account Management teams
  • Lead the NMLP engine - designing and productionizing a multi-output recommendation system that identifies the next product across myPOS's full catalogue
  • Take technical ownership of core fraud model components: transaction-level classifiers, merchant behaviour anomaly detectors, and new-account fraud scorers optimised for high-throughput, low-latency inference
  • Architect and own the Next Best Action (NBA) decisioning engine - a real-time system that selects the highest-expected-value action for each merchant at every interaction
  • Design and build production-grade agentic AI systems that automate high-value analytical and operational workflows
  • Define and execute experiment designs for online evaluation - A/B tests, uplift experiments, and bandits - and analyse results with statistical rigour
  • Set and enforce technical standards across the team: code quality, reproducibility, evaluation rigour, model documentation, and MLOps practices
  • Produce high-quality model documentation and present complex modelling work clearly to stakeholders across Sales, Marketing, Risk, Product, and Operations
What we offer
What we offer
  • Excellent compensation package
  • 25 days annual paid leave (+1 day per year up to 30)
  • Full Luxury package health insurance including dental care and optical glasses
  • Meal vouchers of 102.26 EUR per month
  • Fully covered Multisport card
  • Fully covered public transport pass for Sofia
  • Free coffee, snacks and drinks at the office
  • Annual salary reviews, promotions and performance bonuses
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Fulltime
Read More
Arrow Right
New

Controller

We are looking for an experienced Controller to lead core accounting and finance...
Location
Location
United States , South Salt Lake
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Demonstrated experience in a Controller or senior accounting leadership role with responsibility for full-cycle financial operations
  • Strong background in financial statement preparation and ownership of the month-end close process
  • Knowledge of accounts payable, accounts receivable, collections, and treasury management practices
  • Experience working with external auditors and supporting audit readiness with accurate documentation
  • Familiarity with merger and acquisition activity, including financial review or due diligence support
  • Proven ability to lead staff effectively, manage priorities, and coordinate work across multiple stakeholders
  • High level of accuracy and organization in document management, recordkeeping, and supporting financial files
Job Responsibility
Job Responsibility
  • Direct day-to-day accounting functions across payables, receivables, and collection activities to support timely and accurate financial operations
  • Lead the monthly close cycle from planning through final review, ensuring balances are reconciled and reporting deadlines are met
  • Prepare and review financial statements and related schedules, delivering clear and reliable information for business decision-making
  • Partner with external auditors by coordinating documentation, responding to requests, and supporting annual audit activities
  • Oversee treasury-related tasks, including cash management and monitoring financial liquidity across the business
  • Contribute financial leadership to merger and acquisition efforts through analysis, due diligence support, and integration planning
  • Supervise a small accounting team with three direct reports while providing guidance to additional cross-functional contributors
  • Maintain organized financial records and documentation processes, including compiling and managing supporting files for reporting and compliance needs
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right
New

Beauty & Wellness Merchandiser

Beauty & Wellness Merchandiser. Do you enjoy travelling and working as part of a...
Location
Location
United Kingdom , Stoke-on-Trent
Salary
Salary:
13.01 - 13.88 GBP / Hour
jobs.360resourcing.co.uk Logo
360 Resourcing Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Motivated individuals who take pride in their work
  • Previous retail or merchandising experience, particularly within a beauty environment, is preferred
  • Full UK manual driving licence is a plus
Job Responsibility
Job Responsibility
  • Merchandising and replenishing stock using planograms within set timescales
  • Profiling shelving, installing equipment, and implementing displays to a high standard
  • Maintaining cleanliness of equipment and general housekeeping duties
  • Manual handling and lifting (up to 25kg- male 16kg - female may be required)
  • Working efficiently in a fast-paced environment
  • Installing POS (Point of Sale) materials
  • Cosmetic merchandising
  • Basic IT tasks such as downloading and printing planograms (preferred)
What we offer
What we offer
  • Carpooling options for non-drivers
  • Driver incentive scheme
  • Pre-paid shared hotel accommodation with breakfast
  • Uniform provided
  • Supportive team environment
  • Development opportunities through our training programme
  • Holiday pay accrued and paid when not working
  • Refer-a-friend scheme – earn a £200 bonus (T&Cs apply)
  • Parttime
Read More
Arrow Right
New

Fractional Controller

Robert Half Management Resources is seeking an experienced Fractional Controller...
Location
Location
United States , Beverly Hills
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Prior experience serving as a Controller or senior finance leader within commercial real estate ownership, investment, or property operations strongly preferred.
  • Strong command of financial reporting, management reporting, and annual close processes in a multi-entity environment.
  • Solid knowledge of US GAAP and its application to property accounting and real estate financial operations.
  • Demonstrated ability to analyze property-level economics, including leasing structures, operating costs, and cash flow performance.
  • Experience with account reconciliation, audit preparation, and coordinating documentation for external accountants or advisors.
  • Familiarity with commercial property management accounting, including CAM reconciliation practices.
  • Ability to work independently, communicate clearly with non-financial stakeholders, and operate effectively in a high-trust setting.
  • Consultative and adaptable approach suited to a fractional leadership assignment.
Job Responsibility
Job Responsibility
  • Lead financial oversight for a diversified commercial multi-state real estate portfolio, ensuring accurate reporting across individual properties and related entities.
  • Examine monthly statements, including income statements, balance sheets, and cash flow reports, to confirm consistency and reliability of results.
  • Advise ownership on asset performance by highlighting trends in leasing activity, operating expenses, recoveries, and cash generation.
  • Work closely with bookkeeping and operations team members to improve coordination, reinforce internal controls, and maintain accountability.
  • Evaluate current accounting procedures and introduce practical enhancements that fit a streamlined, owner-directed environment.
  • Partner with external tax professionals and other advisors to support organized reporting, smooth information sharing, and audit-ready documentation.
  • Provide financial perspective on portfolio strategy, including capital allocation considerations and performance patterns across properties.
  • Support account reconciliations, annual close activities, and preparation of audit support materials such as PBC schedules.
  • Monitor commercial property management accounting details, including CAM reconciliations and related reporting accuracy.
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
  • Parttime
Read More
Arrow Right
New

Mot Tester

Here at Williams, our MOT Testers take pride in accuracy, safety and ensuring ve...
Location
Location
United Kingdom , Rochdale
Salary
Salary:
29000.00 - 32000.00 GBP / Year
jobs.360resourcing.co.uk Logo
360 Resourcing Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A full, valid UK driving licence
  • A valid DVSA MOT Tester licence
  • Previous experience as an MOT Tester in a busy workshop
  • Strong attention to detail and knowledge of MOT testing standards
  • Ability to work efficiently and accurately under pressure
  • A professional, safety-focused and customer-oriented approach
Job Responsibility
Job Responsibility
  • Carrying out MOT tests in accordance with DVSA regulations
  • Completing work within times set by the Workshop Controller
  • Accurately recording work using the company's time recording systems
  • Identifying and reporting any additional work required on vehicles
  • Using appropriate diagnostic tools and testing equipment
  • Maintaining a safe, clean and organised working environment
  • Supporting the workshop team to deliver efficient and high-quality service
What we offer
What we offer
  • Monthly performance bonus, with on-target earnings of £3,000 per year
  • Career development plan, including full manufacturer training and certification
  • Structured working hours
  • Ongoing investment in digital aftersales systems
  • Prestige staff car options and staff discounts across the Group
  • Great facilities and a professional, supportive team environment
  • Generous annual leave-30 days paid holiday (including Bank Holidays), increasing to 35 days with length of service
  • £1,000 employee referral bonus
  • Medicash healthcare scheme
  • Employee Assistance Programme (EAP)
  • Fulltime
Read More
Arrow Right