• Data Science Lead

    Stralynn Consulting Services, Inc. (Baltimore, MD)


    Data Science Lead

     

    The Data Science Lead is a visionary architect of advanced analytical strategies, responsible for designing and validating complex AI/Machine Learning pipelines. This role ensures that all models are explainable, ethically sound, and aligned with client expectations and organizational objectives. The Data Science Lead provides technical leadership, mentors a team of data scientists and AI engineers, and oversees the entire lifecycle of predictive and prescriptive models to drive data-driven innovation and insights.

    Responsibilities:

    + Design, develop, and validate sophisticated forecasting, risk scoring, and anomaly detection models using advanced statistical and machine learning techniques.

    + Provide expert supervision and guidance on causal inference methods and intricate machine learning feature engineering processes.

    + Strategically manage the development and deployment of predictive modeling solutions across diverse and large-scale datasets.

    + Lead and mentor a high-performing team of AI engineers and data scientists, fostering a collaborative and innovative environment.

    + Oversee comprehensive model governance frameworks, ensuring explainability, audit trail compliance, and adherence to ethical AI principles.

    + Architect and optimize AI/ML pipelines within cloud-based analytical environments (e.g., Databricks, Snowflake).

    + Collaborate with business intelligence developers to integrate model outputs into actionable dashboards and reports.

    + Drive continuous research and adoption of emerging AI/ML techniques and technologies relevant to the healthcare domain.

    + Communicate complex data science concepts and model insights effectively to both technical and non-technical stakeholders.

    + Ensure the reproducibility, scalability, and performance of all developed analytical solutions.

    Experience Required:

    + 8+ years of progressive experience leading healthcare or public sector AI/Machine Learning teams and projects.

    + Extensive hands-on experience in designing, building, and deploying advanced predictive and analytical models.

    + Proven track record of managing complex data science initiatives from concept to production.

    + Deep understanding of explainable AI (XAI) principles and methodologies.

    Certifications / Education:

    + Master’s degree (MS) in Data Science, Computer Science, Statistics, Applied Mathematics, or an equivalent quantitative field.

    + Machine Learning/Artificial Intelligence Certifications (preferred).

    Skills:

    + Explainable AI (XAI)

    + Causal Inference

    + Python/R (advanced proficiency)

    + Databricks, Snowflake

    + Machine Learning Algorithms

    + Deep Learning

    + Model Governance

    + Team Leadership

    + Data Architecture

    + Problem-Solving

     

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