Data Scientist

Summary

Join Klick Consulting's Data Science team as a freelance data scientist working ad hoc hours. You will collaborate with cross-functional teams to solve business problems using data analysis and innovative methods. Responsibilities include defining problems, selecting appropriate data and methods, building and executing analyses, and presenting results to stakeholders. The ideal candidate possesses research experience, a strong understanding of statistics, and experience working with data. Proficiency in Python and SQL is required, along with excellent communication skills. The role involves working independently and collaboratively on projects of varying sizes.

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

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

Preferred Qualifications

• 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