Data Scientist

IntePros is seeking a Sr Data Scientist to design and build complex analytical models while helping establish foundational data and analytics capabilities from the ground up. This is an analytics-heavy, documentation-driven role in a regulated environment where accuracy, repeatability, and explainability are just as important as predictive power. You’ll work with stakeholders to interpret data, distinguish signal from noise, and enable analytics-driven decision-making—while ensuring all work is well-documented and defensible. Key Responsibilities · Design, build, and validate complex analytical and statistical models · Apply statistical, machine learning, and advanced analytics techniques appropriately · Interpret data and clearly distinguish signal vs. noise · Validate and explain results in a regulated context · Focus on accuracy, repeatability, and explainability of models and insights · Build and analyze reliable, high-quality datasets · Establish and maintain strong data lineage and process documentation · Support analytics-driven decision making across teams Required Qualifications · 5–7+ years of experience in data science, analytics, or related roles · Strong fundamentals in: o Data engineering concepts o SQL (moderate to advanced proficiency) o Data interpretation and statistical reasoning · Experience with BI tools such as Power BI, Tableau, or similar platforms · Proven experience with process documentation and model validation · Comfortable building foundational data practices from scratch Must be willing to work onsite 4 days/wk Nice to Have · Exposure to ML/AI (limited use due to federal restrictions) · Experience deploying models into production · Familiarity with data pipelines (helpful, not required) Additional Notes · Cloud experience is not currently required · This role emphasizes analytics, model quality, documentation, and governance over heavy pipeline engineering