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Senior Manager of Data Science

Kforce Inc

  • Louisville, KY
  • 30+ days ago

    Highlights

    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. Duties Include: Team Leadership & Delivery: Lead, mentor, and develop a team of Data Scientists, fostering a culture of technical rigor, accountability, and continuous learning.

    Numbers & Facts

    LocationLouisville, KY
    IndustryFinancial Services
    Company Size1,000 to 1,499 employees
    Year Founded1962
    Websitehttp://www.kforce.com/

    Description

    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

    About Company

    Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers top companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.

     

    Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®.

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