Senior Data Scientist III

Remitly • Alpharetta, GA

2d

About The Position

LexisNexis 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. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com/. About the Role The Senior Data Scientist III leverages LexisNexis' vast data sources to develop industry leading analytics products for the Insurance market. Works with LexisNexis' sales channels, business verticals, product managers, operations, and IT groups to drive innovative products from ideation through implementation. Practicing expert at applying multiple AI/ML techniques. Can present complex technical topics to a variety of audiences.

Requirements

• Bachelor’s degree (or equivalent experience) in data science, computer science, mathematics, or another field with strong quantitative methods training.
• 7+ years Applied modeling and analytics experience, ideally within insurance risk, claims analytics, actuarial modeling, or underwriting decision support, is a plus, such as:
• Strong understanding of risk indicators, claims processes, loss modeling, and trends in P&C/Life/Health insurance analytics.
• Experience researching and analyzing data sources commonly used in claims (MVR, P&C claims, medical claims, medical coding standards like RxNorm, ICD‑10, SNOMED, DRGs, etc.), and Public Records)
• Familiarity with insurance regulatory expectations for AI/ML models, including fairness, transparency, adverse action requirements, and state DOI guidance.
• Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages. pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala.
• Deep understanding of mathematical and statistical modeling.
• Ability to develop hypothesis and test and deploy complex machine learning models in production.
• Experience processing large data sets
• Strong oral and written communication skills, including the ability to describe analytical results to non-statistical audiences
• Strong ability to lead projects, develop project plans, communicate project progress, and share modeling/analysis results with business partners.
• Experience in data management and data analysis in on-premise and cloud database management systems (like SQL Server, Cosmos DB, Blob storage, etc.)

Nice To Haves

• Master’s degree preferred.

Responsibilities

• Review and provide critical guidance for the development, coding, and implementation of all analysis and models.
• Provide consultative support, training, and be a resource to internal and external statistically trained and non-statistically trained audiences.
• Provide consultation, training, and analysis to the sales support group on sales presentations and product demonstrations.
• Improve processes within team to ensure future projects are efficiently accomplished.
• Summarize conclusions, recommendations and solutions for client or stakeholder presentation.
• Build or supervise others to build statistical models and complete various analytic projects for a variety of applications including risk, fraud, and/or collections in insurance, credit, healthcare, and government verticals. These projects will support internal development projects as well as client sponsored projects.
• Ensure risks inherent in model development and usage are properly identified and managed.
• Suggest/build software tools to streamline the building of models and other analytics.
• Research and design advanced scores, attributes, products, and indexes through exploration of across a wide range of data sources.
• Serve as a team lead, providing oversight and direction.
• Research best practices and new technologies

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
• In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

What This Job Offers

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