4 weeks ago

Job Summary

As the Data Scientist, you will support development of data assets, statistical analyses, and analytic insights that drive operational performance, client performance, industry knowledge, and product innovation. The ideal candidate is a self-starter with insatiable curiosity. You must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through.

  • Minimum Qualification:Degree
  • Experience Level:Mid level
  • Experience Length:2 years

Job Description/Requirements

Responsibilities:

  • Support development of scalable and automated analytic processes and workflows
  • Support development of ETL data flows
  • Ensure quality and accuracy of data
  • Support development of novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)
  • Support development of statistical analyses, e.g. exploratory data analysis, unsupervised and supervised learning and statistical modeling (including machine learning)
  • Support development and deployment of statistical/machine learning models
  • Support design and execution of experiments
  • Support initiatives to improve processes for, and quality of, data assets and analytic deliverables
  • Support development of analytic insight that drive product innovation, operational and client performance, and industry trends
  • Analyze data for anomalies and early indication of bugs in deliverables
  • Build intuitive and modern analytic products, including incorporating data visualization best practices
  • Stay abreast of analytic technologies (e.g., Data lakes and analytics on AWS, R, Python, Looker, Tableau, Power BI, etc.)
  • Document programming scripts, processes, and deliverables
  • Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work


Requirements:

  • 2+ years of experience as a data scientist/applied statistician building advanced statistical and machine learning models
  • 2+ years of SQL, including complex queries of multiple data sources
  • 2+ years of developing scalable and automated ETL processes
  • Strong forecasting and modeling experience 
  • Intermediate to Advanced proficiency with R 
  • Proficiency with Python or other high level data analytic programming languages
  • Knowledge of BI tools (e.g. Tableau, Looker, Domo) is a plus
  • Capable of working on multiple projects and context shift quickly in a fast-paced environment
  • Ability to translate incomplete or immature objectives into well- defined requirements
  • Excellent verbal and written communication
  • 1+ years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
  • Familiarity with the health care industry is a plus

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