Digital Technology Data Scientist Lead - Frederick - GLOBAL Recruitment Solutions

    GLOBAL Recruitment Solutions
    GLOBAL Recruitment Solutions Frederick

    19 hours ago

    $139,800 - $153,480 (USD) per year
    Description

    Digital Technology Data Scientist Lead (2 Openings)


    Location: Oshkosh, WI (Preferred) | Frederick, MD (Considered)
    Work Arrangement: Hybrid
    Compensation: $139,800 base + up to 10% bonus
    Relocation: Offered
    Travel: Minimal (1–2 times per year)
    Eligibility: U.S. Citizen or Green Card Holder

    Role Summary


    We are seeking a Digital Technology Data Scientist Lead to drive advanced analytics and machine learning initiatives that directly impact business performance. This is a hands-on individual contributor role for a senior data scientist who excels at translating business problems into data-driven solutions and communicating insights in a compelling, actionable way.

    This position operates within a Data Science Center of Excellence, requiring strong collaboration across business functions and the ability to influence stakeholders through data storytelling and technical expertise.

    Work Location Expectations

    • Oshkosh, WI (Strongly Preferred): 3 days onsite / 2 days remote

    Remote Consideration: For highly qualified candidates within driving distance of Oshkosh — 25% onsite / 75% remote

    • Frederick, MD: Hybrid (3 days onsite / 2 days remote)

    Key Responsibilities


    Analyze and interpret structured and unstructured data using statistical methods, machine learning, and advanced programming

    Partner with business stakeholders to gather requirements, design solutions, and deliver measurable business impact

    Build and deploy complex predictive models and ML algorithms into operational systems

    Translate technical findings into clear, compelling stories for both technical and non-technical audiences

    • Lead data science workstreams including:

      • Model development and validation

      • Data quality improvements

      • Incident troubleshooting and root cause resolution

    Collaborate cross-functionally with data engineers, architects, analysts, and business leaders

    Mentor team members and promote data science best practices

    Contribute to the enterprise data science strategy and roadmap

    Support supply chain–related analytics initiatives

    Required Technical Skills


    Candidates must clearly demonstrate hands-on experience with:

    • Azure Databricks

    • Python

    • Spark

    • Power BI

    • Microsoft Office (advanced Excel, pivot tables)

    • Statistical modeling and machine learning

    • Data processing across large, complex datasets

    Professional Experience Requirements

    • Strong track record of:

      • Working directly with business stakeholders

      • Translating business needs into analytical solutions

      • Communicating impact in business terms

    Exceptional communication and presentation skills

    Ability to tell a story with data

    Comfortable operating in a highly collaborative, cross-functional environment

    Experience in supply chain analytics is important

    Industry Background Preferred

    • Manufacturing

    • Automotive

    • Industrial

    • Engineering

    Other industries such as healthcare, retail, or biotech may be considered.
    Heavy financial services backgrounds are not preferred.

    Minimum Qualifications


    Bachelors degree + 5 years of relevant experience

    OR

    Masters degree + 3 years of relevant experience

    Standout / Nice-to-Have Qualifications


    Masters or PhD in Data Science, Statistics, Computer Science, or related field

    Experience with Microsoft Power Platform

    Familiarity with Large Language Models (LLMs)

    Knowledge of Retrieval-Augmented Generation (RAG) architectures

    Experience developing front-end data apps (Flask, Gradio, etc.)

    What This Role Is NOT

    • Not a people-management or director-track role

    • Not a heads-down, isolated technical position

    • This is a business-facing, high-impact individual contributor role


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