Senior Data Scientist

MANTECH•Raleigh, NC

1d•$105,300 - $175,500•Hybrid

About The Position

MANTECH International Corporation is seeking a motivated, career and customer-oriented Senior/Lead Data Scientist to join their team. This role offers a hybrid work capacity, requiring 2 days per week at a MANTECH office in Raleigh, NC, Arlington, VA, or Charlottesville, VA. The Senior/Lead Data Scientist will leverage their strong technical background in Python and expertise in advanced AI/ML solutions to design, develop, and validate marketing mix models or other causal models, build LLM-powered MVP-type applications and tools, and contribute to or lead other general data science projects. The role involves translating complex data into actionable insights while collaborating with both technical and non-technical stakeholders in a hybrid work environment.

Requirements

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.
US citizenship required.

Nice To Haves

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.

Responsibilities

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.