Freelance Data Scientist

at  Klick Health

THE TEAM

The Klick Data Science team supports our 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.
To learn more about the team, visit https://consulting.klick.com

JOB DESCRIPTION

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.

REQUIREMENTS:

• Undergraduate degree in statistics, mathematics, bioinformatics, physical sciences, or related quantitative field
• Solid understanding of statistics and experimental design
• Demonstrated experience in working with data, including understanding of bias, error, confusion, power, and significance
• Familiarity with industry-standard languages and tools for data analysis, preferably the Python ecosystem (numpy, pandas, matplotlib, scikit-learn) and SQL
• Working familiarity with git and the command line
• Strong written and verbal communication skills, with the ability to convert technical results into data stories
• Ability to work independently on smaller projects as well as collaborate with data scientists, engineers, developers, consultants, and strategists on larger projects
• Demonstrated aptitude for continual learning and growth

• Find innovative ways of balancing business goals with statistical, technical, and data constraints
• Work effectively with other data scientists, strategists, and senior leaders on all phases of work, from pitching new business to delivering results
• Brainstorm new ideas, design experiments, collect and explore data, visualize and communicate findings, and translate technical results into business contexts
• Write and document analysis scripts in Python and SQL, collaborating through git and GitHub
• Extract 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
• Help guide the structure and objectives of data science projects
• Present results to the team, organization, and clients