Lead the technical execution of data science projects, from problem formulation and data exploration to model development, validation, and deployment.
Apply advanced techniques, including machine learning, predictive modeling, and statistical analysis, to extract actionable insights from large and complex datasets.
Work closely with stakeholders and domain experts to understand business needs, define technical requirements, and translate them into data science tasks.
Provide technical guidance and mentorship to junior data scientists on advanced analytics, machine learning techniques, and best practices.
Ensure the quality, rigor, and scalability of data science solutions, adhering to trusted and responsible AI principles.
Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences to drive data-driven decision-making.
Stay current with the latest advancements in data science and AI & ML, and champion their adoption to solve new and challenging problems.

Requirements

A Bachelor's degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline with 12+ years of experience as a data scientist, OR a Master's degree with 10+ years of relevant experience.
Proven experience taking data science projects or significant project modules from conception to deployment.
Strong proficiency in programming languages such as Python or R and extensive experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
A solid foundation and demonstrated expertise in machine learning, statistical modeling, and experimental design.
Must be a U.S. Citizen and able to obtain and maintain a security clearance.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data sciencemachine learningpredictive modelingstatistical analysisPythonRpandasscikit-learnTensorFlowPyTorch

technical guidancementorshipcommunicationstakeholder engagementproblem formulationdata-driven decision-making