Senior Manager of Data Science

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Manager, Data Science, in Louisville, KY.

Summary:
We are looking for a Senior Manager, Data Science, to serve as both a technical and people leader within a growing data science organization. This role is responsible for leading a team of Data Scientists while remaining hands-on with machine learning strategy, execution, and delivery. The focus is on building and scaling production-grade models that support core platform capabilities in a regulated, high-trust environment.

This position is well suited for a leader who thrives in fast-moving, evolving settings and can provide clarity, structure, and momentum while balancing delivery, quality, and team development.

Duties Include:
Team Leadership & Delivery:
* Lead, mentor, and develop a team of Data Scientists, fostering a culture of technical rigor, accountability, and continuous learning
* Oversee day-to-day execution of data science initiatives, ensuring alignment with product priorities and business objectives
* Guide the development, deployment, and ongoing monitoring of machine learning models used in live production environments
* Partner closely with product, engineering, and analytics leaders to embed data science solutions into core platform workflows
* Establish clear communication rhythms and alignment across cross-functional teams to support effective decision-making

Technical Leadership & Execution:
* Apply advanced machine learning techniques (e.g., classification, regression, clustering, NLP, anomaly detection, and generative models) to solve complex, real-world business challenges
* Own and evolve model governance practices, including version control, monitoring, performance tracking, and drift detection
* Support evaluation and adoption of emerging tools, platforms, and methodologies that improve data science efficiency and scalability

REQUIREMENTS:
* Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
* 7+ years of experience in data science or machine learning, with at least 2 years in a people-leadership or team-lead role
* Demonstrated hands-on experience across the full machine learning lifecycle, including model development, deployment, and production monitoring
* Strong programming experience in Python, with familiarity using modern ML frameworks (e.g., PyTorch, TensorFlow, XGBoost)
* Excellent written and verbal communication skills, with the ability to engage both technical and non-technical audiences
* Proven ability to lead teams through change, ambiguity, and rapid growth
* Experience working with large-scale, complex, or regulated datasets is a plus

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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