Senior Data Scientist

MANTECH; Raleigh (NC); Hybrid; USD 130,000 - 180,000; Full time

Job summary

MANTECH seeks a Senior/Lead Data Scientist to design, develop, and validate marketing mix or causal models, build LLM-powered MVP apps, and lead data science projects in a hybrid role. You will work 2 days per week on-site in Raleigh, NC, or Arlington/Charlottesville, VA, translating complex data into actionable insights for both technical and non-technical stakeholders.

The role requires a strong Python background, experience with AI/ML, and the ability to lead teams and client conversations in

Qualifications

• Bachelor’s degree in CS/Data Science/Statistics/Applied Mathematics with 4+ years in data science and ML.
• Hands-on Python experience deploying generative AI solutions (e.g., RAG pipelines, agentic workflows).
• Experience building/validating MMM or other causal models.

Responsibilities

• Develop marketing mix models (MMM) or other causal models with robust validation.
• Rapidly prototype MVPs using Python, Snowflake, Copilot and related tools.
• Engage with technical and non-technical clients to translate requirements into analytics.
• Establish best practices for modeling and data science to ensure accuracy and impact.
• Collaborate across multi-disciplinary teams to drive data science excellence.

Skills

Python

Snowflake

Microsoft Copilot

Generative AI

Education

Bachelor’s degree in CS/Data Science/Statistics/Applied Mathematics

Tools

R programming language

Python tooling

Job description

MANTECH seeks a motivated, career and customer-oriented Senior/Lead Data Scientist to join our team, with the ability to work in a hybrid capacity, spending 2 days per week at a local MANTECH office in Raleigh, NC, Arlington, VA, or Charlottesville, VA.

The Senior/Lead Data Scientist will apply their strong technical background in Python and expertise in advanced AI/ML solutions to (1) design, develop, and validate marketing mix models or other causal models, (2) build LLM-powered MVP-type applications and tools, and (3) contribute to or lead other general data science projects. You will translate complex data into actionable insights while working closely with both technical and non-technical stakeholders in a hybrid work environment (2 days per week on-site at a MANTECH office).

Responsibilities Include But Are Not Limited To

• Developing, testing, and validating marketing mix models (MMM) or other causal models, where standard model fit metrics alone are insufficient.
• Rapidly prototyping and building production-ready MVPs using Python, Snowflake, Microsoft Copilot, and other components.
• Engaging directly with technical and non-technical clients to understand business requirements and translate them into actionable analytical solutions.
• Establishing or communicating best practices for modeling and data science to ensure model accuracy, reliability, and business impact across complex data environments.
• Collaborating across multi-disciplinary teams to drive data science best practices and communicate technical findings to customer leadership.

Minimum Qualifications

• Bachelor’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field with 4+ years of progressively responsible experience in data science and machine learning.
• Proven hands-on experience building and deploying tools or systems in Python that make use of generative AI (e.g., RAG pipelines, agentic workflow, or similar using Python).
• Demonstrated expertise in building and validating marketing mix modeling (MMM) or other causal models.

Preferred Qualifications

• Excellent interpersonal and communication skills with a proven track record of working directly with technical and non-technical clients.
• Master’s Degree or Ph.D. in a quantitative field with 7 to 8+ years of relevant data science experience.
• Deep technical background in advanced causal inference, experiment design, or econometrics.
• Experience leading technical teams or acting as a primary liaison between customer stakeholders and engineering groups.
• Experience with the R programming language in data science or statistics.
• Self-starter with excellent people skills - able to work across teams, organize meetings/boards, and drive change throughout an organization.

Clearance Requirements

US citizenship required.

Physical Requirements

Must be able to remain in a stationary position 50%.

Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.