Jobs

    Manager Data Science, Personalization - Michigan, United States - Forsyth Barnes

    Forsyth Barnes
    Forsyth Barnes Michigan, United States

    7 hours ago

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    Description

    Title: Manager, Data Science – Personalization

    Salary: Up to $180,000 + bonus and benefits

    Location: Ann Arbor, Michigan (relocation assistance available)

    Sector: FMCG

    Job Description

    Forsyth Barnes Data Science recruitment team is working with a top FMCG organization to find an experienced Data Science Manager to lead ML initiatives for impactful Personalization. The ideal candidate possesses a proven track record in building personalization models and algorithms within a business context, demonstrating adaptability and expertise. Responsibilities include guiding the end-to-end development of ML models, particularly in areas such as Customer Lifetime Value (LTV), Churn Prediction, and Promo Recommendation Engine.

    Manager, Data Science - Main Responsibilities

    • Thought Leader: Provide consistent, high-quality innovative ideas, serving as a technical authority in Personalization Data Science.
    • Lead from the Front: Proactively devise solutions and approaches with infectious energy and passion, ensuring necessary resources and expertise for team development.
    • Stay Informed: Continuously monitor industry trends in marketing personalization, digital innovation, and machine learning to guide internal strategies.
    • Data Navigation: Quickly understand and work with data in various forms to guide the development of ML models.
    • Develop and Ship Models: Contribute to the development and deployment of models such as LTV, Churn Prediction, and Promo Recommendation Engine.
    • Technical Insights: Apply deep technical insights for selecting and employing machine learning personalization algorithms.

    Manager, Data Science – Requirements:

    • Must have strong technical experience utilizing Python, SQL, PySpark
    • Experience building LTV models, churn prediction and recommendation models
    • Experience leading team of 2+
    • Any experience within the consumer space would be advantageous

    This Role requires the candidate to work a hybrid work model in their office in Ann Arbor, Michigan. Relocation assistance provided.



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