Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
About the role
- Senior Data Scientist developing data models and insights for AI compliance engine. Collaborating with teams to optimize product performance in legal workflows.
Responsibilities
- Design and maintain multi-dimensional measurement frameworks for evaluating AI performance across the Norm Law workflow
- Analyze telemetry and behavioral logs to understand how attorneys, legal engineers, and clients interact with AI-generated work, surfacing drivers of quality and efficiency
- Design and run experiments with rigorous statistical design, clear hypotheses, and honest accounting of real-world constraints
- Develop frameworks to measure and communicate performance across key dimensions of legal work quality
- Implement product analytics to understand how enterprise clients engage with our AI-driven compliance and legal workflows
- Build self-service analytics capabilities so legal engineers and business stakeholders can monitor performance independently
- Build data models; contributing to ELT processes using dbt, Airflow, and our cloud data warehouse
- Help establish data governance practices that meet enterprise security and regulatory compliance requirements
Requirements
- 5-7 years of data science experience with demonstrable statistical depth
- 1-2 years of data engineering exposure
- Data Science experience and strong experimental design skills such as hypothesis testing, A/B testing
- Experience defining and measuring quality in ambiguous, multi-dimensional settings
- Proficiency with SQL, Python, and modern data stack tools (dbt, Hex, Airflow, Snowflake/BigQuery/Redshift)
- Strong analytical background with experience at small startups where you've worn multiple data hats
- Experience building analytics from scratch at early-stage companies
- B2B SaaS experience with understanding of enterprise customer analytics
- Ability to translate complex business questions into technical data solutions
Benefits
- competitive salary along with equity compensation
- 401(k) plan with an employer match
- top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans
- relocation reimbursement for candidates needing to relocate to NYC
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
SMAI Manager leading a talented team to develop advanced factory scheduling and automation solutions at Micron. Collaborating globally to enhance manufacturing capabilities and deliver best practices.
Staff Data Scientist at GoodLeap driving data strategies for sustainable finance and software solutions. Collaborating with analytics teams to prioritize impactful analysis projects.
Data Scientist leading analytical projects and collaborating with business partners to solve specific business problems for Amgen operations. Utilizing advanced analytics to create significant business impact.
Senior Data Scientist developing AI - driven solutions for Autodesk, improving scalability and cost efficiency. Collaborating with cross - functional teams to deliver innovative data - driven strategies.
Data Scientist role at Novo Nordisk focused on AI/ML and biologics design. Involves developing computational solutions for drug discovery targeting chronic diseases like obesity.
Head of Data Enablement overseeing analytical responsibilities at Bank of America. Leading teams to drive data product and marketplace strategy to enhance business insights.
Leader in Data & AI Assurance shaping financial services transformation at Lloyds Banking Group. Overseeing risk management and ensuring safe adoption of AI technologies.