Data Scientist, Integrity Measurement Job at OpenAI (London)

Data Scientist, Integrity Measurement

The Integrity pillar within Applied Foundations is responsible for the scaled sy...

Location

United States , San Francisco; New York City

Salary:

293000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Senior DS with trust and safety experience that can drive measurement direction
Deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based)
Experience working with severe and sensitive harm areas like child safety or violence
Excellent communicator, and have strong cross-functional collaboration skills
Capable in data programming languages (R or python, SQL)

Job Responsibility

Own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals
Develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets
Build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable
Own dashboards and metrics reporting for harm verticals
Conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps
Optimise LLM prompts for the purpose of measurement
Collaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needs
Provide metrics for leadership and external reporting
Develop automation to scale yourself, leveraging our agentic products

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Senior Data Scientist, Platform (Integrity)

This role directly improves the safety, trust, and quality of real-world user ex...

Location

United States

Salary:

177000.00 - 208000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.
State-of-the-art knowledge of AI/ML models
Hands-on experience building, evaluating, and deploying NLP and LLM-based solutions, including text classification, information extraction, semantic understanding or generative applications
Working knowledge of causal inference
Skilled in statistical programming (Python or R) and database usage (SQL)
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Ability to translate complex findings and results into compelling narratives that drive impact
Excellent project management, communication, and collaboration skills

Job Responsibility

Advance Airbnb’s content integrity capabilities by building Natural Language Processing (NLP) and LLM-based models that understand intent, policy compliance, quality and risk across listings, profiles, and user communications
Develop high-performing models for detecting problematic or misleading content, including text classification, semantic similarity, information extraction and generative model-based reasoning for policy interpretation and enforcement
Design and optimize human-in-the-loop Machine Learning (ML) systems for content review, labeling, escalation and continuous model improvement
Build systems to detect emerging content risks and abuse patterns across regions, cohorts and surfaces using statistical, ML and representation-learning approaches
Design intelligent sampling and evaluation strategies to measure rare events, policy recall, false positives/negatives and model blind spots in large-scale content systems
Build and deploy production AI/ML systems for content integrity and trust content understanding, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management
Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes
Develop frameworks to analyze tradeoffs between enforcement accuracy, user experience, operational cost and coverage, and propose strategies to optimize overall system effectiveness
Deliver robust research reports with effective data visualizations, clear storytelling and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering and operations
Think strategically about how to scale and evolve Airbnb’s content integrity defenses, helping define the long-term vision for the role of AI-driven content understanding across the Trust ecosystem

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Data Scientist

The Senior Data Scientist is an applied data science leader within the Data & An...

Location

Canada , Toronto

Salary:

85000.00 - 125000.00 USD / Year

Four Seasons

Expiration Date

Until further notice

Requirements

5+ years of working experience in data science, data wrangling, management, and/or ML engineering
University degree in Computer Science, Statistics, Data Science, Applied Mathematics, Engineering, or substantial coursework in relevant quantitative field
Applied modeling and analytics: strong foundation in statistics and ML (supervised/unsupervised), feature engineering, and model evaluation
ability to explain tradeoffs and drive business decisions
Experience in NLP and/or GenAI techniques for applied use cases (e.g., classification, entity extraction, semantic search) with an evaluation-first mindset
Data proficiency: advanced SQL and Python
strong data wrangling skills (profiling, cleansing, merging, validation) for large, messy datasets
Cloud & tooling (preferred): Azure and Databricks ecosystem (e.g., Databricks, Data Factory, Data Lake/Blob, Azure Function App, Azure AI Foundry), with ability to run scalable experimentation and modeling workflows
Production readiness (in partnership with Engineering): familiarity with CI/CD, version control (Azure DevOps/GitHub), reproducible pipelines, and monitoring principles for models and data products
Visualization & communication: experience using notebooks and BI tools (e.g., Power BI, Tableau, PowerPoint) to tell clear stories to technical and non-technical stakeholders

Job Responsibility

Lead Data Science in Designing Prototypes Supporting Commercial Strategy
Own applied data science problem framing: translate business goals into clear hypotheses, success metrics, and an analytical approach (e.g., forecasting, propensity, segmentation, optimization, NLP)
Lead the design and delivery of data science prototypes aligned to commercial strategy, ensuring measurable business impact (e.g., cost savings, revenue growth, improved guest experience)
Define and execute measurement and experimentation plans (e.g., A/B tests, holdouts, quasi-experiments) to quantify incremental impact and guide product/business decisions
Plan and manage the data science / ML project pipeline by developing roadmaps, aligning business priorities, communicating tradeoffs, and coordinating dependencies with partners (e.g., Data Engineering, Data Governance, Product/Digital/Business teams)
Identify, collect, and validate datasets
define data quality checks and partner with data stewards/engineering to ensure data is fit for purpose
Design, develop, and evaluate models and prototypes
select the best approach balancing accuracy, interpretability, scalability, and business constraints
Present insights and recommendations to non-technical and leadership audiences, driving alignment, decision-making, and adoption

Fulltime

Ic8 Data Scientist, Product Analytics - Cp New Revenue Bets

We're looking for a experienced Data Scientist who can serve as a product analyt...

Location

United States , Menlo Park

Salary:

253000.00 - 314000.00 USD / Year

New

Senior Data Scientist

Design, develop, and deploy machine learning models for predictive analytics, cl...

Location

United States , Lincolnshire

Salary:

145000.00 - 150000.00 USD / Year

Advanced Technology Search Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline
5+ years of professional experience developing machine learning solutions in production environments
Strong experience with Python and PySpark
Hands-on experience with Azure Databricks or similar large-scale distributed data processing platforms
Experience building and deploying end-to-end machine learning solutions
Strong understanding of statistical modelling, regression, classification, clustering, and predictive analytics
Experience with time-series forecasting is highly desirable
Familiarity with TensorFlow, scikit-learn, MLflow, Spark MLlib, or similar machine learning frameworks
Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform
Strong SQL and data engineering skills

Job Responsibility

Design, develop, and deploy machine learning models for predictive analytics, classification, regression, clustering, and forecasting applications
Build scalable machine learning pipelines using Python, PySpark, and cloud-based technologies
Perform feature engineering, model evaluation, and optimization using structured and unstructured data
Develop production-ready AI and machine learning solutions that integrate with enterprise software platforms
Partner with Product Management, Engineering, and business stakeholders to translate business challenges into data-driven solutions
Analyze large datasets to identify trends, patterns, and opportunities that improve operational performance and customer outcomes
Develop dashboards, visualizations, and analytical tools that communicate insights to technical and non-technical audiences
Evaluate emerging machine learning and AI technologies and recommend improvements to existing solutions
Support production model monitoring, performance measurement, and continuous model improvement
Mentor junior team members and contribute to a collaborative, innovation-driven environment

What we offer

Competitive compensation, annual bonus, and comprehensive benefits
Hybrid work environment with opportunities for continued professional growth

Fulltime

Senior Data Scientist

Do you thrive on solving complex problems, uncovering insights, and shaping inno...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Proven consulting and stakeholder engagement skills with proven ability to influence decisions.
Proficiency in Python and SQL

Job Responsibility

Own end-to-end delivery of strategic data science projects
partner with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact
Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements
Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions
Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles
Identify opportunities to leverage generative AI for business transformation and innovation
Acquire, clean, and prepare large datasets for modeling
Build and deploy predictive and prescriptive models using modern machine learning techniques
Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions
Write efficient, maintainable code and ensure scalability for production environments

Fulltime

Manager Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Minimum 12+ years of progressive experience in AI/Data Science
At least 8 to 10 years of hands-on experience in building AI /ML models for Financial domain
Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance
Experience working with large-scale financial transactional datasets and ERP systems (SAP, Oracle, Workday etc)
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
Experience in enterprise grade implementation of cutting edge Agentic AI solution
Taking ownership spans the entire AI delivery lifecycle for project, encompassing the orchestration of multi-agent workflows, Retrieval-Augmented Generation (RAG) architectures, and high-performance LLM integration pipelines
Taking responsibility for AI tech stack selection, governance, and the mitigation of stochastic drift or model hallucinations
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs) at enterprise level

Job Responsibility

Design, develop, and deploy advanced machine learning models to forecast key business KPIs including expense allocation and cash flow management
Build automated business process optimization model and reporting systems using AI
Design variance analysis frameworks to identify key drivers of financial performance
Conduct scenario analysis and sensitivity modelling for strategic initiatives
Present findings and recommendations to senior leadership and stakeholders
Establish data quality standards and governance frameworks for financial analytics
Drive innovation by evaluating and implementing emerging AI/data science technologies
Mentor junior team members and foster a culture of data-driven decision making
Partner with business leaders to translate complex financial data into actionable insights

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program
Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects
Collaborative and inclusive culture that values innovation and diversity

Fulltime

Data Scientist, Product

Meta is seeking a Data Scientist to partner with product teams and drive data-in...

Location

United States , New York

Salary:

147000.00 - 208000.00 USD / Year

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Data Scientist, Integrity Measurement

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