Data Science & Analytics Engineer

    Data Science & Analytics Engineer | Insperity | Kingwood, TX | 1–3+ yrs experience | Full-time | Master’s (or Bachelor’s with 3 yrs exp) | Python, R, C#/.NET, ML.NET, pandas

    Summary:
    Design, develop, and deploy data science and advanced analytics platforms that power enterprise decision-making at Insperity. Build and validate machine-learning models, create scalable data pipelines, and collaborate with stakeholders to deliver actionable insights and predictive capabilities that enhance HR technology solutions and business performance.

    Key Responsibilities:

    • Design, implement, and maintain machine-learning algorithms (clustering, decision trees, neural networks) to solve diverse business problems.
    • Create, curate, and manage training and testing datasets to support model development and validation.
    • Build and optimize data processing and transformation pipelines to ensure data quality and availability for analytics.
    • Develop statistical models and analytics solutions using Python, R, or C#/.NET and libraries such as pandas or ML.NET.
    • Collaborate with enterprise data engineers, IT teams, and business stakeholders to translate findings into clear, actionable insights.
    • Present trends and model outcomes through intuitive dashboards and visualizations; document methodologies and results.

    Tools/Technologies Used: Python, R, C#/.NET, pandas, ML.NET, advanced statistical modeling (regression, distributions, hypothesis testing), SQL, enterprise data engineering frameworks, and cloud-based data platforms.

    Notable Achievements:

    • Delivered end-to-end machine-learning solutions that improved predictive accuracy for HR analytics, reducing manual intervention by 20%.
    • Built reusable analytics pipelines enabling faster data acquisition and transformation, cutting model-training time by 30%.
    • Partnered cross-functionally to implement real-time dashboards that increased operational visibility and decision speed for key stakeholders.
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