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LexisNexis Risk Solutions · 22 hours ago

Data Scientist II

Alpharetta, GA

Full-time

Onsite

Entry, Mid Level

$72K/yr - $119K/yr

1+ years exp

LexisNexis Risk Solutions is a key player in risk assessment, offering solutions to enhance revenue growth and operational efficiency for businesses. The Data Scientist II role involves conducting statistical analyses and building predictive models to address fraud and credit risk across various industries, while collaborating with cross-functional teams.

AnalyticsHealth CareInformation TechnologyInsurTechRisk ManagementSoftware

Culture & Values

H1B Sponsor Likely

Responsibilities

Understand and execute analytic plans with the appropriate statistical or modeling technique

Conduct analyses supporting existing and new product development or customer sales opportunities

Assemble, merge and parse large amounts of data to detect meaningful trends and patterns

Explore opportunities to enhance existing products with new features or new data sources

Develop machine learning models, create model code, and work with internal or external stakeholders to validate accuracy of production code

Interpret, document, and communicate analytic work to non-technical audiences

Provide support to other data scientists across the organization

Critical reviews of data experiments to ensure accuracy, completeness, and feasibility

Other duties as assigned

Qualification

Machine LearningStatistical AnalysisData MiningPredictive ModelingBig Data TechnologiesPythonRSQLGitHubUnix/LinuxAnalytical SkillsLearning AgilityCreative Problem SolvingCommunication SkillsCollaboration

Required

Master's degree in statistics, data science, mathematics or quantitative methods

Experience with big data technologies and applying large scale machine learning techniques

Experience with version control through GitHub

Experience with Unix/Linux system architecture and command line tools

Experience in credit or fraud risk management industry

At least one year of experience building predictive models using machine learning and conducting data analysis using Python, R, SQL or similar software packages

At least one year of experience with mainstream programming languages, such as Python, R, Java, or Scala, in a collaborative environment using software development best practices such as version control and testing

Superior knowledge of data science frameworks, statistical methods and advanced machine learning techniques

High degree of creative, analytical and problem-solving skills

Ability to learn quickly and work effectively both independently and collaboratively

Ability to communicate complex technical or statistical concepts to a non-technical audience

Ability to apply modern data exploration and visualization techniques to deliver actionable insights

Benefits

This job is eligible for an annual incentive bonus.

Company

LexisNexis Risk Solutions

Glassdoor4.0

LexisNexis Risk Solutions provides information to assist customers in industry and government in assessing, predicting, and managing risk. It is a sub-organization of ChoicePoint.

Founded in 2000

Alpharetta, Georgia, USA

10001+ employees

https://risk.lexisnexis.com

H1B Sponsorship

LexisNexis Risk Solutions has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (129)

2024 (132)

2023 (86)

2022 (98)

2021 (125)

2020 (53)