Freelance Data Scientist

The Klick Consulting Data Science team supports clients on multiple fronts, including commercial and marketing analytics and optimization; healthcare utilization and clinical outcomes analysis; novel AI/ML applications in digital health; creating and maintaining data products and repositories. The ideal candidate will have some research experience with either an advanced degree or work experience outside a pure academic context. They will work with cross-functional teams to define business problems, determine the right data and methods for the job, build and execute analyses, and present results to cross-functional stakeholders. Responsibilities include finding innovative ways of balancing business goals with statistical, technical, and data constraints. They must work effectively with data scientists, strategists, and senior leaders; brainstorm new ideas, design experiments, collect and explore data, visualize and communicate findings, and translate technical results into business contexts. Writing and documenting analysis scripts in Python and SQL, collaborating through git and GitHub and extracting insights from data using methods such as natural language processing, segmentation and clustering, geospatial analysis, hierarchical Bayesian modeling, Markov chain Monte Carlo, decision trees, and deep neural networks is required.