Manager, Data Science & Analytics Leader (Hybrid)

Fa Exvu Saasfaprod1 (CX_1); Fort Worth (TX); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

401K matching

Tuition assistance

GM employee discount

Paid parental leave

Job summary

GM Financial in Fort Worth, TX seeks a Manager of Data Science to lead development, deployment, and maintenance of predictive models across originations, collections, risk, pricing, and marketing. You will mentor Data Scientists, guide problem formulation, and ensure best practices in ML/DevOps within a hybrid setup.

The role requires 5+ years in data science, advanced degrees in quantitative fields, and strong coding in Python/SAS/SQL/R. Strong communication and leadership are essential.

Qualifications

• Advanced quantitative and analytical skills with strong math, probability, statistics, ML, and predictive modeling.
• Translate complex business challenges into analytical solutions and articulate business value.
• Deep knowledge of statistical and ML methodologies including regression, time series, survival analysis, clustering, and optimization.
• Strong programming and analytics toolkit including Python, SAS, SQL, R, JMP; experience with TensorFlow/Keras.
• Experience deploying and monitoring ML solutions with DevOps/MLOps in Azure DevOps environments.

Responsibilities

• Lead development, deployment, and maintenance of models across originations, collections, risk, pricing, fraud, analytics, and marketing.
• Provide technical leadership and mentorship to Data Scientists; guide problem formulation and deployment strategies.
• Apply ML, forecasting, optimization, and data mining to solve business problems and drive outcomes.
• Lead research to quantify impact of factors on portfolio performance and metrics.
• Design studies using descriptive analytics and supervised ML to answer business questions.
• Develop innovative algorithms to improve operations and decision-making.
• Coordinate project activities and ensure analytics solutions meet business objectives.
• Partner with business leaders to identify opportunities and communicate findings to senior leadership.
• Present findings through clear reports and presentations; lead research from design to implementation.
• Provide coaching and training to Data Scientists; manage multiple projects in a fast-paced environment.
• Familiarity with Agile, Lean Development, and structured problem-solving.

Skills

Statistics

Machine Learning

Forecasting

Optimization

Time Series

Decision Trees

Data Mining

Leadership

Communication

Agile

Education

Master’s Degree

PhD in a quantitative field

Tools

Python

SAS

SQL

R

JMP

TensorFlow

Keras

Azure DevOps

Microsoft Office

Job description

GM Financial in Fort Worth, TX seeks a Manager of Data Science to lead development, deployment, and maintenance of predictive models across originations, collections, risk, pricing, and marketing. You will mentor Data Scientists, guide problem formulation, and ensure best practices in ML/DevOps within a hybrid setup.

The role requires 5+ years in data science, advanced degrees in quantitative fields, and strong coding in Python/SAS/SQL/R. Strong communication and leadership are essential.