OneMain Financial Jobs

Job#: 3022841

Job Description:

Role: Sr Data Scientist

Location: Hybrid - 4 days/week onsite

Duration: Long-Term Contract

Job Description:

This role is responsible for extracting insights, predicting outcomes, and uncovering meaningful trends from large and complex datasets. The position leverages advanced data science methodologies---including machine learning, predictive modeling, statistics, and mathematical analysis---to support data-driven decision-making across the business.

Key Responsibilities

Core Data Science & Modeling

• Analyze business problems and determine appropriate data science approaches to meet analytic needs.
• Design, build, and validate machine learning models and analytical solutions, including hypotheses, algorithms, and experiments.
• Apply advanced analytical techniques such as predictive modeling, prescriptive modeling, clustering, and statistical analysis to uncover patterns and insights.
• Develop and optimize scalable, automated data science workflows and machine learning pipelines.

Data Engineering & Feature Development

• Design efficient data ingestion, transformation, and augmentation processes to improve model accuracy and reliability.
• Build robust feature engineering frameworks and high-performance data pipelines.

Advanced Research & Continuous Improvement

• Stay current on new methodologies, tools, and frameworks in data science and machine learning.
• Identify opportunities to enhance analytical efficiency, model robustness, and overall accuracy.

Additional Responsibilities

• Develop and deploy supervised, unsupervised, and reinforcement learning models for use cases such as recommendation systems, churn prediction, and demand forecasting.
• Lead experimental design efforts, including A/B and multivariate testing, and interpret results to guide product and business decisions.
• Optimize model performance and algorithm efficiency through systematic refinement and experimentation.
• Communicate complex technical findings to non-technical stakeholders, influencing data-driven strategy and ROI.
• Provide mentorship and technical leadership to junior team members.
• Collaborate with ML Engineering and DevOps partners to deploy models into production and monitor model drift.

Required Experience & Qualifications

Professional Experience

• 5+ years of experience in a data science role with a record of delivering impactful machine learning models.

Technical Skills

• Expert-level Python (Pandas, NumPy, Scikit-learn, SciPy) or R.
• Strong machine learning foundations, including gradient boosting (XGBoost, LightGBM), random forests, GLMs, clustering, etc.
• Advanced SQL for working with large, complex, distributed datasets.
• Solid grounding in mathematics and statistics, including linear algebra, calculus, and statistical inference.
• Experience following software best practices---clean, modular code; version control (Git).

Required Skills

• Algorithms
• Python
• GCP

Education

• Master's Degree required

   

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medi