Data Science Engineering Manager - Remote Leadership Role

About the Role

We are seeking a Data Science Engineering Manager to join our team in a fully remote capacity. This high-impact leadership role at the intersection of data science, engineering, and public sector innovation will allow you to guide a team of data professionals while remaining hands-on in delivering advanced analytics solutions that directly influence healthcare outcomes. As a Data Science Engineering Manager remote, you will transform complex datasets into actionable insights that support critical decision-making.

What You'll Do

• Lead, mentor, and develop a team of data scientists, fostering a collaborative and high-performing culture.
• Act as the technical lead for data science initiatives, ensuring timely delivery and alignment with project goals.
• Design, develop, and review scalable data solutions using SQL, Python, and PySpark.
• Collaborate with data engineering teams to build and optimize ETL pipelines in cloud-based environments.
• Translate complex data into clear, actionable insights for stakeholders and leadership.
• Serve as the primary technical point of contact for cross-functional teams and external partners.
• Drive best practices in data architecture, documentation, testing, and deployment.
• Monitor project performance, remove blockers, and continuously improve workflows and processes.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 8+ years of experience in data science or data engineering, including at least 2 years in a leadership or management role.
• Strong experience working with healthcare datasets such as Medicaid or Medicare claims is highly preferred.
• Advanced proficiency in SQL, Python, and PySpark for large-scale data processing and analysis.
• Hands-on experience with modern data platforms such as Databricks and cloud environments (e.g., AWS).
• Solid understanding of data engineering principles, ETL processes, and data modeling techniques.
• Familiarity with software development best practices including version control and CI/CD pipelines.
• Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
• Strong problem-solving mindset with the ability to manage multiple priorities in a fast-paced environment.

Nice to Have

• Experience with machine learning frameworks and libraries.
• Knowledge of data privacy regulations and compliance, particularly GDPR.
• Familiarity with Agile methodologies.

What We Offer

• Competitive salary range of $150,000 - $165,000 annually.
• Fully remote work environment with a strong emphasis on work-life balance.
• 100% employer-paid premium health insurance coverage for employees.
• Annual profit-sharing opportunities.
• Flexible working hours to support personal and family needs.
• Generous paid time off and holidays.
• Supportive, inclusive culture focused on well-being and professional growth.
• Opportunities to work on meaningful projects with real societal impact.