Data Scientist III

LexisNexis Risk Solutions

We develop industry-leading solutions that are pro-people, anti-fraud and abuse, and anti-crime to enable frictionless digital government. LexisNexis Risk Solutions cares about our world, and we would love for you to join our team if you want to help solve meaningful problems too.

Data Scientist III

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 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 and machine learning 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.

Responsibilities:

• Independently execute small scale projects. Support more complex projects under guidance of more senior Data Scientists.
• 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 and clean large datasets. Apply statistical techniques to conduct analytic research and data studies, build statistical models and complete pre-development research and prototypes.
• Assist in prompt engineering for AI features.
• 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 2+ years of relevant work experience. Or a Master’s Degree in related field.
• Competent user of R, Python, or SQL.
• Demonstrates competencies in Data Science and Statistical frameworks.
• Experience 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.
• Detail oriented and critical thinker with strong analytical thinking skills.

Physical and/or logical access to criminal justice information is an essential function of this role.  The successful candidate will be required to pass both the standard company background check for all employees and an enhanced criminal background check conducted by the Company’s state and local law enforcement partners conducted in compliance with the FBI’s Criminal Justice Information System (“CJIS”) security policy.  Employees in this role may also be subject to ongoing criminal background checks as required by the Company’s state and local law enforcement partners.  Candidates and/or employees who are not certified by state and local law enforcement to access criminal justice information will not be able to perform the essential functions of this role.  Employees who subsequently fail to obtain or maintain CJIS compliance may be reassigned or terminated. 

Women in Tech:

LexisNexis Risk is supportive of women in Technology and has been a founding signature for the Tech Talent Charter. We have the following initiatives in place to support women in technology:

• Mentoring scheme for women in technology

• Women’s network forum and regular run events for schools about careers in technology to inspire the next generation of girls in technology.