Data Science Manager (On-Site)
Summary
Leads a team of data scientists and machine learning engineers at IALR's Danville, VA site, overseeing delivery of analytics, ML, and AI projects while setting technical standards, coding best practices, and AI governance. On-site only, with federal eligibility required for controlled unclassified information.
This position requires eligibility to access controlled unclassified and other regulated technical information in accordance with applicable federal requirements. This role is not eligible for remote work and will be based onsite in Danville, Virginia.
The Pay, Perks, & Benefits
- $123,600 - $132,450 annual salary
- Retirement benefits through the Virginia Retirement System (VRS) with employer match
- Paid time off including vacation, sick leave, and paid family leave
- Paid holidays including a two-week paid winter break
- Health insurance options including PPO and HSA plans with dental coverage
- Employer-paid life insurance
The Institute for Advanced Learning and Research (IALR) is seeking an experienced and innovative Data Science Manager to lead a team of data scientists, machine learning engineers, and technical professionals supporting advanced analytics, artificial intelligence (AI), and data-driven solutions. This position combines people leadership, technical expertise, and project execution to deliver impactful outcomes for clients, stakeholders, and organizational initiatives.
How You Will Help the Team
You will play a critical role in building organizational capability through strong leadership, technical excellence, and successful project execution. By mentoring team members, championing innovation, and driving high-quality outcomes, you will help advance IALR's mission while delivering meaningful value to clients and partners.
What You Will Do
As the Data Science Manager, you will lead a high-performing technical team while serving as the primary technical authority for data science and AI initiatives. You will guide project delivery, establish technical standards, and ensure the successful execution of complex analytics and machine learning projects. Key responsibilities include:
- Lead, coach, and develop a team of data scientists, machine learning engineers, and technical specialists.
- Oversee technical delivery and quality across multiple analytics, machine learning, and AI projects.
- Provide technical leadership for solution design, model development, deployment strategies, and AI governance.
- Establish and maintain best practices for coding standards, testing, documentation, and data governance.
- Collaborate with project managers, clients, and organizational leaders to translate business challenges into scalable analytical solutions.
- Support proposal development, grant applications, and business development efforts.
- Evaluate emerging technologies and identify opportunities to expand organizational capabilities and services.
- Contribute technical expertise to strategic planning, innovation initiatives, and investment decisions