$ cat jobs/freelance-data-scientist-ad-hoc-klick1-209eb4931983.json
Freelance Data Scientist, ad hoc
The Klick Group —comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do. About our Consulting Craft Our Consulting Craft partners with clients on complex business and transformation challenges. The team applies strategic rigor to real-world problems. They help organizations navigate change with clarity and confidence. Their work drives meaningful, long-term impact. As a Freelance Data Scientist, this role supports Klick Consulting by converting complex healthcare, commercial, and marketing data into clear narratives and practical recommendations for clients. The role partners with data scientists, strategists, consultants, and senior stakeholders to define business questions, select appropriate methods, execute analyses, and communicate findings. This freelance position is based in Ontario, is 100% remote, and does not require travel. Employment type: freelance Target hours: ad hoc, 20 hours per week, more if possible What You’ll Do Design data science approaches that balance client business goals with statistical, technical, and data constraints. Python data analysis workflows using tools such as pandas, NumPy, matplotlib/plotly, scikit-learn, SQL, git, and GitHub. Analyze healthcare, marketing, commercial, clinical, or utilization data using methods such as natural language processing and free-text analysis, clustering, geospatial analysis, descriptive statistics, and predictive modeling.
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