Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Responsibilities
Independently scope, execute and lead small scale projects
Independently execute for more complex projects
Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and statistical measurements
Extract, clean and design large and complex datasets to support analysis and product deliveries
Apply statistical techniques to conduct analytic research, build statistical models and complete prototypes
Assist in creation of crime data vectorization, similarity measures, and clustering
Assist in architecting generative AI features and conduct prompt engineering for customer facing AI tools
Assist in communicating analytic conclusions to both analytic and non-analytic stakeholders
Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects.
Requirements
Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work experience
Or a Master’s Degree in related field and 5+ years of relevant work experience
Proficient user of Python, SQL, Pandas, and NumPy
Competent user of Java
Demonstrates proficiencies in Data Science and Machine Learning frameworks
Experience with Generative AI, OpenAI, Copilot, and Claude
Skilled in processing and manipulating large data sets including merging, slicing, sorting, constructing new features
Strong documentation, written and verbal communication skills
Strong interpersonal skills
Organized with the ability to handle multiple concurrent activities
Self-starter and eager to learn
Demonstrates leadership within small teams
Detail oriented and critical thinker with strong analytical thinking skills.
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.
Senior Data Scientist developing data models and insights for AI compliance engine. Collaborating with teams to optimize product performance in legal workflows.
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.