Technical Lead (Data Science and AI/ML)
IPT Associates · Remote, US ·
- Work mode
- Remote
- Seniority
- Lead
- Category
- Data science
- Experience
- 8+ years
Technical Lead (Data Science and AI/ML)
Remote
At IPT Associates (IPTA), we enjoy solving real-world problems with technology. We work closely with our customers, teammates, experts, and partners to come up with practical solutions that make a difference. Whether it's a government or business organization, we focus on understanding the need and building something that works.
Our Team
At IPTA, everything starts with our people. We're big believers that when you invest in your team, great things happen. That's why we encourage learning, growth, and trying new things-even if you don't have all the answers yet.
Our culture is rooted in fierce determination, fearless integrity, and passionate service-but we also like to keep things collaborative, supportive, and down-to-earth.
We're looking for people who:
- Are curious and excited about technology
- Like solving problems and figuring things out
- Can take initiative but also enjoy working with a team
- Want to keep learning, growing, and challenging themselves
If you're someone who's eager to jump in, learn something new, and make an impact-you'll fit right in here.
Responsibilities:
- Provides technical leadership for the data science and AI/ML workstream supporting U.S. Army enterprise data modernization on Palantir Foundry, planning, directing, and coordinating the work of data scientists, engineers, and developers
- Formulates, designs, and delivers AI/ML-based decision-making frameworks and models that drive business and mission outcomes
- Measures and justifies the value of AI/ML-based solutions through defined success metrics, model performance evaluation, and outcome analysis
- Applies advanced statistical analysis to evaluate data, validate models, and inform recommendations to customer leadership
- Utilizes data analytics tools and platforms such as Power BI, Palantir Foundry, and Palantir AIP to engineer data and visualize results for decision-making
- Translates customer objectives into an actionable technical roadmap and communicates findings and recommendations to technical and non-technical stakeholders
Requirements:
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (equivalent experience may be considered)
- 8+ years of experience in data science, advanced analytics, or AI/ML solution delivery, including experience leading technical teams or workstreams
- Advanced data science expertise, including designing and delivering AI/ML models and decision-making frameworks
- Advanced statistical analysis skills
- Experience using data analytics and visualization platforms such as Power BI and Palantir Foundry
- Demonstrated ability to measure, justify, and communicate the value of AI/ML solutions to senior stakeholders
- Plan, direct, or coordinate activities in such fields as electronic data processing, information systems, systems analysis, and computer programming
- Possesses and applies a comprehensive knowledge across key tasks and high impact assignments
- Plans and leads major technology assignments
- Evaluates performance results and recommends major changes affecting short-term project growth and success
- Functions as a technical expert across multiple project assignments
- May supervise others
- An active Secret security clearance is required
Preferred Qualifications:
- Master's degree or Ph.D. in a quantitative field
- Hands-on experience with Palantir Foundry and Palantir AIP (e.g., AIP Logic)
- Experience delivering AI/ML solutions in DoD or Army environments
- CompTIA Security+ or equivalent DoD 8570/8140 baseline certification
IPTA is an Equal Opportunity Employer. All employment decisions are based on individual merit, including qualifications, experience, performance, and business needs, consistent with applicable federal laws and federal contracting requirements. IPTA provides equal opportunity and utilizes merit-based principles to make employment-related decisions.
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