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Principal Data Science Engineer at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Science Engineer in Georgia (USA).. This is a senior, high-impact role for an experienced data science professional eager to influence a fast-growing team. You will work across the full machine learning lifecycle, from data ingestion and feature engineering to model production and deployment, helping to build a data-rich platform that matches, optimizes, and retains skilled talent. The position offers autonomy, exposure to cutting-edge technologies, and the chance to make meaningful contributions to a mission-driven organization. You will collaborate with cross-functional teams, contribute to data strategy, and directly impact product innovation and customer value. This is an opportunity to grow as both a technical leader and strategic thinker in a startup-like environment with large-scale impact.. . Accountabilities. . Design, build, and deploy full-stack machine learning solutions supporting talent matching, retention, and workforce optimization.. . Develop and maintain data pipelines, feature engineering processes, and production-grade ML models.. . Partner with stakeholders to define and execute a long-term data strategy aligned with business goals.. . Analyze market and user behavior data to inform new feature development and ROI measurement.. . Ensure security best practices and compliance around sensitive data, including PII.. . Contribute to the architecture of client-facing algorithms, APIs, and core product features.. . Provide technical leadership and mentorship within the data science and engineering teams.. . . . 10+ years of experience building and shipping production-grade data products.. . Strong proficiency in Python and Java, with experience across cloud platforms (AWS, GCP, Azure).. . Hands-on experience across the full machine learning lifecycle: EDA, modeling, productionization, monitoring.. . Ability to flex between pure data science and full engineering execution as business needs demand.. . Experience in early-stage startup environments or high-growth teams.. . Strong problem-solving skills, analytical thinking, and attention to detail.. . Deep alignment with mission-driven work and values-centered leadership.. . Preferred Qualifications:. . Experience at major technology companies (e.g., Amazon, Google, Meta, Apple, Microsoft, Netflix).. . Prior involvement in large-scale talent or workforce analytics platforms.. . Familiarity with client operations, APIs, and full-stack engineering approaches.. . . Company Location: United States.