CrawlJobs Logo

Senior Data Scientist - Fraud/Risk

uber.com Logo

Uber

Location Icon

Location:
United States , San Francisco

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

171000.00 - 190000.00 USD / Year

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
Job Link Share:
PREMIUM
Premium job offers
Unlock 29494 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

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

Logistics worker empty bottles

Get started quickly, part-time or full-time! This is possible at Kuehne+Nagel in...
Location
Location
Netherlands , Utrecht
Salary
Salary:
14.71 - 20.63 EUR / Hour
https://www.randstad.com Logo
Randstad
Expiration Date
May 16, 2029
Flip Icon
Requirements
Requirements
  • You don't mind working with foul smells
  • You are available to work at least two shifts: 06:00 - 15:00, 14:45 - 23:45 or 22:00-07:00
  • You are available for at least six months
  • You live in the area of Utrecht or can get there easily
  • Everyone who comes to work at Kuehne Nagel must have a Certificate of Good Conduct (VOG)
Job Responsibility
Job Responsibility
  • Process the returned bottles
  • Unload trucks
  • Scan bottles and place them in machines
  • Grow into an operator
What we offer
What we offer
  • Enthusiastic colleagues around you
  • Grow into an operator
  • You get paid every week
  • Good guidance
  • Earn lots of allowances
  • Grow into a forklift driver and operator
Read More
Arrow Right
New

DAM Manager (Viewer and Marketing)

We are looking for a hybrid thinker to own the "connective tissue" of our market...
Location
Location
United Kingdom , London
Salary
Salary:
55000.00 - 65000.00 GBP / Year
careers.itv.com Logo
ITV Jobs
Expiration Date
May 29, 2026
Flip Icon
Requirements
Requirements
  • Platform Expertise: Demonstrable experience with DAM or large-scale CMS platforms (e.g., Adobe Experience Manager, Bynder, OrangeLogic, Contentstack, etc.)
  • Business Analysis: The ability to map "as-is" processes, write user stories, and troubleshoot technical implementations
  • Agile Methodology: Experience working within a Scrum framework and leading ceremonies
  • Marketing Context: A proven track record of working within or closely with a Marketing department
  • Technical Translation: The ability to translate complex marketing needs into clear technical specifications for engineering partners.
Job Responsibility
Job Responsibility
  • Asset Lifecycle Management: Overseeing the end-to-end lifecycle of digital assets (from social media to TV) and defining metadata schemas and taxonomies to ensure assets are discoverable and ready for automated orchestration
  • Workflow Optimization & Analysis: Mapping existing marketing workflows to identify bottlenecks, translating marketing needs into technical requirements for engineers, and using data to justify automation
  • Product Evolution & Change Management: Collaborating with MarTech engineers on the DAM roadmap, leading Scrum ceremonies, and driving user adoption through training and AI integration
  • Stakeholder Management: Owning the relationship with user groups to gather feedback and acting as the "connective tissue" between Creative, Marketing, and Technical teams.
What we offer
What we offer
  • Flexible working with a range of options
  • Generous holiday allowance, plus you can buy more
  • Annual bonus opportunity
  • Competitive pension contribution
  • Save as you earn - with an opportunity to buy ITV shares
  • Wellbeing and volunteering days plus a wide range of opportunities to help you live a balanced and healthy life
  • 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 , Richmond
Salary
Salary:
16.50 - 25.00 USD / Hour
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 27, 2026
Flip Icon
Requirements
Requirements
  • Must be at least 16 years of age
  • Licensure requirements vary by state
  • Attention and Focus
  • Customer Service Orientation
  • Communication Skills
  • Mathematical Reasoning
  • Problem Resolution
  • Physical Demands: Remaining upright on the feet, particularly for sustained periods of time
  • Moving about on foot to accomplish tasks, particularly for moving from one work area to another
  • Picking, pinching, typing or otherwise working primarily with fingers rather than whole hand or arm
Job Responsibility
Job Responsibility
  • Manage all assigned pharmacy workstations and tasks to support the team’s ability to promptly, safely and accurately fill patient prescriptions all while providing caring service that exceeds customer expectations
What we offer
What we offer
  • Dental
  • Vision
  • Wellness resources
  • Employee discounts
  • Access to certain voluntary benefits
  • Parttime
Read More
Arrow Right
New

Crm Platform Manager (Technical Braze Specialist)

The CRM Platform Manager acts as the core Braze platform expert, delivering on k...
Location
Location
United Kingdom , London
Salary
Salary:
45000.00 - 55000.00 GBP / Year
careers.itv.com Logo
ITV Jobs
Expiration Date
May 21, 2026
Flip Icon
Requirements
Requirements
  • Technical CRM professional with a proven success working with multiple stakeholders in complex businesses
  • Experienced in the Braze platform and its capabilities and integrations, with proven technical experience and certifications
  • Highly experienced in planning, executing and optimising CRM
  • Strong communication skills with the ability to build strong relationships across a range of business areas
  • Strong leadership skills with the ability to hold others accountable and enforce change where needed
  • Highly data-literate with proven experience interpreting data to aid decision making and make recommendations
Job Responsibility
Job Responsibility
  • Work with the CRM team to deliver against marketing and viewing outcomes, reflecting the wider media strategy and supporting ITV business objectives
  • Work with the Head of CRM, Senior CRM Manager, and MarTech team on viewer journey initiatives and touchpoints to improve viewer retention alongside the wider CRM marketing programme
  • Lead on project work related to journey orchestration, triggered campaign activity, improved automation, and personalisation to increase our CRM maturity and effectiveness over a critical project-heavy period
  • Harnessing Braze's evolving AI capabilities and driving team adoption of tooling and features to improve CRM effectiveness and maturity
  • Interface with the MarTech team to monitor, optimise and document Braze platform consumption of data attributes and pipelines, helping ensure we are operating to best practices and within limits
  • Keep up to date on the latest data-driven marketing trends and mentor the team to deliver innovative and impactful CRM activity, fostering a test and learn culture that accelerates optimisation and learning
  • Ensure all CRM activity is high quality, taking ownership and where needed, and providing feedback to the team
  • Ensure all CRM activity is in line with legal and privacy guidance and regulations
  • Help monitor the effectiveness of the CRM activity and guide the team towards optimisation and change which increases impact on KPIs
What we offer
What we offer
  • Flexible working with a range of options
  • Generous holiday allowance, plus you can buy more
  • Annual bonus opportunity
  • Competitive pension contribution
  • Save as you earn - with an opportunity to buy ITV shares
  • Wellbeing and volunteering days plus a wide range of opportunities to help you live a balanced and healthy life
  • Fulltime
!
Read More
Arrow Right