Data Scientist
The Team
The Klick Consulting 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 Details
Employment type: freelance
Hours per week: ad hoc
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.
Responsibilities:
- 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
- Comfort with and enthusiasm for integrating AI into your work
- 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
- 2+ years of professional experience in analytics or data science
- Experience in analyzing medical claims and EHR data
- Familiarity with Microsoft Azure, AWS or Google Cloud Platform
- Graduate degree in statistics, mathematics, bioinformatics, physical sciences, or related quantitative field