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Data Scientist

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 77300 USD Yearly USD 77300.00 YEAR
Job Description & How to Apply Below

About the Business:

Lexis Nexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti‑Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.

For more information:

About our Team:

The Analytic Customer Management team at Lexis Nexis Risk Solutions delivers actionable insights that fuel product growth. We respond to client needs, conduct both proactive and reactive analyses, and present findings that help uncover new opportunities. It’s a fast‑paced, problem‑solving environment where each day brings fresh challenges and meaningful impact.

About the Role:

We’re seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data mining and analytics to deliver impactful insights and scalable solutions.

Responsibilities
  • Build and deploy machine learning models using R, Python, SAS, and SQL.
  • Develop cloud‑based analytic solutions and integrate them into enterprise systems.
  • Analyze large datasets to uncover insights and support product development.
  • Collaborate with stakeholders to validate scoring code and ensure model accuracy.
  • Document methodologies and follow best practices in statistical modeling.
Requirements
  • Computer Science, Statistics, Mathematics, or related field.
  • Experience in predictive modeling.
  • Proficiency in SAS, R, Python, and Big Data technologies.
  • Strong communication skills and ability to work cross‑functionally.
  • Fraud analytics experience is a plus.
Benefits
  • Health Benefits:

    Comprehensive, multi‑carrier program for medical, dental, and vision benefits.
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan.
  • Wellbeing:
    Wellness platform with incentives, Headspace app subscription, Employee Assistance, and Time‑off Programs.
  • Short‑and‑Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity.
  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits.
  • Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts.
  • Annual Paid Time Off, with up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice.

Salary Range: Minnesota base salary range: $77,300.00 - $

Equal Opportunity

Employer:

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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