Apply foundational data science and analytical techniques to drive insights that inform research, business strategy, and organizational decision-making
Contribute to the development of data models, dashboards, and analysis that enhances understanding of program performance, and population health trends
Work with diverse data sources—including healthcare, demographic, behavioral, and operational datasets—to support projects across research analytics, and business analytics
Design, test, and deploy predictive and descriptive models to advance organizational strategy and outcomes, using Python, R, and related frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
Formulate and validate hypotheses through rigorous statistical testing
Apply advanced statistical, econometric, and machine learning methods to structured and unstructured datasets
Translate technical results into clear, actionable insights for both technical and non-technical stakeholders
Engage cross-functional teams to understand organizational challenges, frame analytical questions, and develop innovative, data-driven solutions

Bachelor's Degree in Computer Science, Engineering, Computational Biology, Econometric or equivalent experience
1-3 years of relevant experience
Proven experience as a data scientist from professional experience and/or formal education
Advanced modeling expertise
Proven experience developing and validating statistical, econometric, and machine learning models for predictive or descriptive applications
Technical proficiency in analytical programming
Expertise in Python (pandas, scikit-learn, NumPy, statsmodels, PyTorch, TensorFlow) or equivalent R packages
Strong working knowledge of SQL
Strong quantitative and analytical foundation
Deep understanding of statistical inference, experimental design, and model evaluation metrics
Experience with complex data domains
Skilled in analyzing high-dimensional or unstructured data, such as images, text, or genomics data
Effective communicator and storyteller
Collaborative and business-focused mindset
Skilled at partnering with cross-functional teams to understand organizational challenges and design data-driven solutions
Entrepreneurial drive and intellectual curiosity

Associate Data Scientist

Key skills