Applied Data Scientist Senior - Chelmsford - Top Candidate Search Group

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    Top Candidate Search Group Chelmsford

    1 week ago

    Description

    Title: Applied Data Scientist, Senior

    Company: U.S. based manufacturer of a life-saving medical devices.

    Location: Hybrid work schedule from Chelmsford based office.

    Description:

    Machine Learning and Generative AI Development

    • Apply machine learning techniques to derive insights.
    • Prepare and structure data for LLM workflows.
    • Experiment with emerging AI tools, prototyping new techniques that enhance automation, documentation, and storytelling for decision support.
    • Support AI model evaluation, accuracy assessment, and guardrail development for use in regulated environments.
    • Frame ambiguous problems, define analytical approaches, and iterate toward transformational solutions.
    • Partner with software developers to integrate ML/AI components into internal tools, assistants, and automation solutions.
    • Ensure analytic methods and models follow traceability, reproducibility, and documentation expectations suitable for regulated environments.

    Data Analytics and Insight Support

    • Perform statistical analysis, predictive modeling, and anomaly detection to support engineering and product support decisions.
    • Translate complex data into actionable recommendations.
    • Develop definitions of KPIs, metrics, and analytical logic.
    • Couple analytical models with data visualizations.
    • Monitor product failures, service efficiency, operational trends, and customer feedback.
    • Partner with IT and data platform teams to access and prepare datasets and data transformations to support dashboards, analytics and AI models.
    • Adhere to data privacy, cybersecurity, and internal governance standards when handling service, customer, or field data.

    Continuous Improvement and Innovation

    • Identify and recommend opportunities for automation, advanced analytics, and AI-driven enhancements to business processes.
    • Research and vet 3rd party technology vendors to assess potential partnerships.
    • Stay current with emerging AI, ML, and analytics technologies, and evaluate their applicability to current operational

    Requirements:

    • Minimum education of Bachelor's Degree in Data Science, Engineering, Computer Science, Applied Mathematics, Statistics, or a related discipline.
    • 5+ years of experience in analytics engineering, data analysis, machine learning application development, or similar roles.
    • Medical device or regulated industry experience is a plus.
    • Experience working with engineering, product support, or industrial data environments.
    • Proficiency developing dashboards, predictive analytics, or AI-driven tools in an engineering, industrial, or operations environment is preferred.
    • Experience working with: datasets (Oracle Cloud, Camstar, Salesforce, ServiceMax, etc.); Cloud data platforms (AWS, Azure, etc.); Python for analytics and ML (pandas, numpy, scikit-learn); dashboarding and visualization tools (Power BI, Tableau, or equivalent).
    • Experience building predictive models and applying ML techniques to real-world operational data.
    • Experience with GenAI tools or modern AI workflows is strongly preferred
    • Familiarity with LLM concepts (embeddings, RAG, prompting, semantic search) and demonstrated interest in GenAI experimentation.
    • Ability to clean, transform, and prepare datasets for analytics and AI workflows.
    • Comfort with complex and ambiguous datasets.
    • Strong communication and data storytelling abilities.

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