CrawlJobs Logo

Partner Data Scientist, Governance

United States, New York 137000.00 - 196000.00 USD / Year · Job Posted January 26, 2026
Apply Position
Job Link Share

Job Description

The Partner Data Scientist (PDS), Transparency – Governance & Oversight Board, is responsible for leading data-driven governance initiatives, supporting Oversight Board activities, and ensuring Meta’s external commitments are met through rigorous analytics, impact assessments, and process improvements. This role partners with Governance, Public Policy, Product, and external stakeholders to deliver actionable insights, validate the impact of recommendations, and proactively address regulatory and compliance risks.

Job Responsibility

  • Design, execute, and deliver custom Impact Assessments for the Oversight Board, providing data and analysis to validate the impact of Board recommendations and Meta’s implementation efforts
  • Develop and maintain processes for tracking, reporting, and sharing impact metrics with the Board, including both manual and self-serve analyses via Meta Content Library (MCL) and API
  • Proactively identify and address gaps in data availability, implementation tracking, and accountability for recommendations, ensuring commitments are upheld and communicated transparently
  • Support regulatory response efforts by ensuring data sharing, reporting, and impact measurement processes meet evolving legal and policy requirements (e.g., DSA 40B)
  • Run end-to-end dry runs and readiness assessments for regulatory requests, and develop mitigation strategies for ambiguous or high-risk compliance scenarios
  • Collaborate with Integrity, Policy, and Product teams to align on regulatory priorities and resource allocation
  • Host workshops, office hours, and educational sessions for researchers, Board members, and external partners to drive adoption and understanding of Meta’s transparency tools
  • Provide white-glove support for Oversight Board and governance stakeholders, including onboarding, troubleshooting, and feedback collection
  • Communicate findings, risks, and learnings to leadership and cross-functional teams, influencing strategy and resource allocation

Requirements

  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 5+ years of experience following the data development lifecycle to develop scalable data infrastructure and analytics tools
  • Demonstrated experience building relationships with peers, stakeholders and collaborating with cross-functional teams across multiple geographies and time zones
  • Track record of operating independently and delivering results, embracing ambiguity, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner
  • Proven experience in communication and presentation skills, and the ability to clarify and summarize complex issues
  • Hands-on experience with SQL and/or data science toolkit for development and visualization (e.g. python/R, Tableau, Hive, MySQL, Spark, etc.)
  • Experience independently structuring and leading projects with cross-functional stakeholders in a highly matrixed organization
  • Experience independently managing multiple projects simultaneously and working autonomously in a deadline focused ambiguous environment
  • Experience in communicating effectively with experience of driving action based on data-driven insights. Experience turning vague concepts and asks into well-documented and effective business metrics and insights and storytelling through data insights
  • Project management experience, with experience leading and executing multiple time-sensitive projects with partners

Nice to have

  • BS, MS or MBA in a quantitative or policy/regulatory field preferred
  • Experience distilling/prioritizing needs of a broad range of stakeholders to inform an action plan
  • Experience working in policy, policy research, regulatory and compliance etc
  • Understanding of Account Management and research/analytics best practices
  • Strategy consulting experience (or equivalent experience in strategic and analytical problem-solving)

What we offer

  • bonus
  • equity
  • benefits

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Partner Data Scientist, Governance

8 matching positions

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...
Location
Location
United States , Boston, MA/San Ramon, CA
Salary
Salary:
100000.00 - 160000.00 USD / Year
bhspecialty.com Logo
Berkshire Hathaway Specialty Insurance
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced degree (Master’s or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline
  • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics
  • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)
  • Strong applied statistics skills for: Risk modeling
  • Predictive analytics
  • Pricing & underwriting analytics
  • Catastrophe exposure analysis
  • Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs)
  • Time-series forecasting
  • Gradient boosting, random forests, and other tree-based models, neural networks models
Job Responsibility
Job Responsibility
  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
  • Work with domain experts across teams and perils to enhance our use of available data
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
  • Conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities
What we offer
What we offer
  • Comprehensive Health, Dental and Vision benefits
  • Disability Insurance (both short-term and long-term)
  • Life Insurance (for you and your family)
  • Accidental Death & Dismemberment Insurance (for you and your family)
  • Flexible Spending Accounts
  • Health Reimbursement Account
  • Employee Assistance Program
  • Retirement Savings 401(k) Plan with Company Match
  • Generous holiday and Paid Time Off
  • Tuition Reimbursement
  • Fulltime
Read More
Arrow Right

Associate Data Scientist (Data Engineering)

The Associate – Data Engineering role is an entry‑level engineering position wit...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s (3 to 6 Yrs) or Master’s (2 to 4 Yrs) degree in Computer Science, Engineering, Information Systems, Data Science, or a related quantitative/technical field
  • Experience in data engineering, software engineering, analytics engineering, or data/tech role
  • Familiarity with data concepts (tables, schemas, joins, basic transformations)
  • Proficiency in SQL and data analysis and structured data
  • Strong problem‑solving and analytical reasoning skills
  • Effective written and verbal communication skills
  • Strong learning mindset and willingness to work with new tools, datasets, and business contexts
Job Responsibility
Job Responsibility
  • Support building and maintaining data ingestion and transformation workflows (ETL/ELT) for marketing and media datasets
  • Assist with implementing data validations and QA checks (schema checks, null checks, duplication checks, count reconciliation) to ensure datasets are reliable and analytics‑ready
  • Help monitor pipeline runs and refresh schedules, investigate failures using logs, and escalate issues with clear context and evidence
  • Support development of reusable, governed datasets / data products that are consistent and easy for BI and analytics teams to consume
  • Contribute to documentation (data flow notes, runbooks, assumptions, source mapping) to improve operational stability and handoffs
  • Collaborate with cross‑functional partners (MSO BI, MSO Ops, Analytics teams, Vendors) to ensure inputs and outputs are aligned and dependable
  • Participate in continuous learning and improvement to strengthen engineering fundamentals, reliability practices, and delivery discipline
  • Analyze and understand the functional & non-functional requirements for Investment and Media Analytics function, and translate them into prototype, technical specifications
Read More
Arrow Right

Lead Data Scientist - Clinical Informatics (Clinical Data Standards)

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , New York
Salary
Salary:
130295.00 - 260590.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 29, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Deep expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
  • Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
  • Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Serve as a subject matter expert in clinical data, including CCD data, with deep understanding of how to structure and apply this data to solve healthcare problems
  • Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization
  • Develop and govern the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases
  • Enable self-service analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data
  • Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets
  • Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders
  • Partner with clinical, operational, and business stakeholders to understand their data needs, translate requirements into data solutions, and ensure clinical data assets meet their analytical objectives
  • Lead and mentor data scientists, data analysts, and data engineers, providing guidance on clinical data interpretation, appropriate use, and best practices for working with healthcare data
  • Establish data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability
  • Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data
What we offer
What we offer
  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • CVS Health bonus, commission or short-term incentive program
  • Award target in the company’s equity award program
  • Fulltime
!
Read More
Arrow Right

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...
Location
Location
India , Chennai; Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
  • Advanced proficiency in SQL and relational database concepts
  • Strong programming experience in Python (required)
  • PySpark preferred
  • Hands-on experience building and deploying machine learning models (supervised and unsupervised)
  • Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
  • Strong knowledge of statistical modeling, feature engineering, and model validation techniques
  • Experience with BI tools such as Tableau or Power BI
  • Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
  • Experience working with large-scale enterprise or financial datasets
Job Responsibility
Job Responsibility
  • Integrates subject matter and industry expertise within a defined area
  • Contributes to data analytics standards around which others will operate
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
  • Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
  • Resolves occasionally complex and highly variable issues
  • Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
  • Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
  • Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
  • Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management
  • Fulltime
Read More
Arrow Right

Senior Data Scientist (hands-on & production focus)

Senior Data Scientist with a leading Banking client (consulting through FinXL). ...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
finxl.com.au Logo
FinXL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience as a Senior Data Scientist with extensive hands-on production exposure
  • Strong track record working alongside engineers on deployed systems beyond notebooks
  • Advanced Python skills tailored for data science applications and production environments
  • High proficiency in SQL and experience handling large, complex datasets
  • Familiarity with model deployment patterns, APIs, batch pipelines, and orchestration
  • Solid grounding in statistics, machine learning models, NLP, or digital automation
  • Prior experience working within regulated or risk-aware enterprise environments preferred
Job Responsibility
Job Responsibility
  • Deploy, monitor, and maintain data science solutions and pipelines in production
  • Partner closely with software and platform engineering teams on release processes
  • Build, refine, and maintain data science models, feature pipelines, and analytical workflows
  • Perform data extraction, transformation, validation, and comprehensive quality checks
  • Build robust model evaluation, live monitoring, and drift detection approaches
  • Ensure all developed solutions align with model risk management and AI governance frameworks
  • Fulltime
Read More
Arrow Right

Lead Data Scientist

The Data Science Lead serves as the technical and analytical authority for our c...
Location
Location
United States
Salary
Salary:
180000.00 - 200000.00 USD / Year
signifytechnology.com Logo
Signify Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field (or equivalent professional experience)
  • 5+ years of experience in data science, data analytics, or a related discipline, including production ML/AI deployments
  • Strong proficiency in Python for data science workflows, including pandas, scikit-learn, and NLP libraries (e.g., spaCy, Hugging Face Transformers)
  • Proven experience designing and delivering NLP pipelines and/or forecasting models in a business context
  • Solid command of SQL for data querying, transformation, and analysis
  • Experience with BI and reporting tools, particularly Power BI (including data modeling and DAX)
  • Demonstrated ability to communicate analytical findings clearly to non-technical stakeholders
  • Experience working in regulated industries (healthcare, finance, or similar) with understanding of compliance and data governance requirements (e.g., HIPAA, GDPR)
Job Responsibility
Job Responsibility
  • Defining and driving the data science and AI roadmap, aligning model development priorities with business objectives and product strategy
  • Leading end-to-end delivery of ML and AI solutions — from problem framing, data discovery, and model design through validation, deployment, and performance monitoring
  • Translating ambiguous business problems into well-scoped data science workstreams, identifying quick wins alongside longer-term strategic initiatives
  • Designing and implementing NLP pipelines for use cases such as entity extraction, semantic mapping, classification, and retrieval-augmented generation (RAG)
  • Building and maintaining forecasting and predictive models to support operational and strategic decision-making
  • Conducting current-state assessments of data architecture, sources, and quality
  • defining future-state data models and governance standards
  • Partnering closely with Product, Engineering, and business stakeholders to clarify requirements and define measurable success criteria
  • Mentoring data analysts and junior data scientists, and driving a culture of continuous learning and responsible AI
What we offer
What we offer
  • Comprehensive Medical, Dental and Vision Plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Wellness Incentive
  • Employee Assistance Program (EAP)
  • Paid Time Off & Holidays
  • 401(k) Retirement Plan Matching
  • Group Term Life and AD&D Insurance
  • Short-Term and Long-Term Disability Insurance
  • Fulltime
Read More
Arrow Right

Manager Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...
Location
Location
India , Gurgaon
Salary
Salary:
Not provided
https://www.baxter.com/ Logo
Baxter
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • 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
  • State-of-the-art workspace in Gurgaon with modern amenities
  • Flexible work arrangements including hybrid work options – 3 days in office arrangement
  • Contribute to BAXTER's mission of saving and sustaining lives worldwide
  • Work on meaningful projects that directly improve healthcare outcomes
  • Be part of a Fortune 500 company with global presence and stability
  • Fulltime
Read More
Arrow Right

Data Scientist Senior Consultant

We are currently seeking a Data Scientist Senior Consultant to join our team in ...
Location
Location
India , Pune
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong coding skills in languages like Python, and SQL
  • experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Deep understanding of statistical modeling, probability, and advanced mathematical concepts
  • Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking
  • Excellent technical writing and stakeholder communication
  • the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams
  • Typically requires 7+ overall and 3-5+ years of experience in data science, risk management, or quantitative analysis
Job Responsibility
Job Responsibility
  • Model Validation: Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks
  • Risk Assessment: Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards)
  • Compliance & Governance: Ensure all modeling lifecycles align with internal MRM frameworks and regulatory mandates
  • Effective Challenge: Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations
  • Documentation: Author comprehensive validation reports and maintain documentation for audit purposes and senior management review
Read More
Arrow Right