Senior Data Scientist III

RELX • Minneapolis, MN

4d

About The Position

Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and cross-functional team of data scientists, product managers, strategists, and engineers. You would apply machine learning and AI technologies to execute analytical and statistical projects supporting all levels of government in civilian services, public health, and public safety. To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI techniques. You will support product development, research, and prototyping assignments. If you are a curious and collaborative data scientist who thrives in an innovative environment, then we would like to hear from you.

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.
• This person needs to be inside the US boundaries to work on the projects based on necessary compliance.
• 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 to be able to interface effectively with a broad range of contacts; from technical staff to management.
• 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.

Responsibilities

• Must be a US Citizen or Greencard holder
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level