Manager, Data Science - Harnham : Job Details

Location: Fort Worth or Dallas (Addison) or Charlotte, NC. - Hybrid - 2 Days per week in office.

Compensation: 170K-200K Base Salary

We are a technology firm developing innovative financial products focused on managing everyday expenses. The Data Science team applies advanced statistical and machine learning techniques to create predictive models used in Underwriting, Account Management, and Operations.

Responsibilities:

• Lead a team of data scientists to deliver predictive models, risk models, and analytical solutions that drive business value.
• Design, develop, and deploy machine learning algorithms for use across various functions including Underwriting, Marketing, and Operations.
• Collaborate with business partners to meet goals and support various teams and portfolios.
• Process and analyze large datasets using tools like Python, Spark, and Snowflake.
• Implement and test machine learning algorithms for risk management in acquisition channels.
• Apply data mining techniques to minimize credit/fraud losses and optimize product profitability.
• Manage the implementation of scoring models on decision platforms, including the cloud.
• Provide expertise on third-party data sources (e.g., TransUnion, Experian) and guide effective data usage.
• Document models and processes using tools like Jupyter Notebook and Rmarkdown.

Qualifications:

• Master's degree in a quantitative field (Statistics, Economics, Mathematics, Engineering, etc.); Ph.D. preferred.
• At least six years of experience in data science or risk modeling, with two years in a leadership role.
• Expertise in machine learning techniques (Random Forest, Gradient Boosting, LASSO, etc.).
• Strong data manipulation and engineering skills.
• Proficiency in Python, R, Java, Linux, and big data tools (e.g., Spark, Hadoop, Snowflake).
• Experience with database technologies (NoSQL, JSON/XML parsing, etc.).
• Excellent communication skills and the ability to work in a fast-paced environment.