Senior Data Scientist
3 weeks ago
Key Responsibilities:
- Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners
- Piping and processing massive data-streams in distributed computing environments (e.g Hadoop) to facilitate analysis
- Recommends appropriate batch and real-time model scoring to drive actions
- Provides oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions
- Develop advanced visualization of analysis output for business users
- Publish results and address constraints/limitations with business partners
- Provides actionable insights to output produced to ensure established targets are met
- Determines the continuous improvement opportunities of current predictive modeling algorithms
- Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost, and other variables
- Lead and mentor Data Scientists
- Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field
- Masters degree in related field and 3+ years experience in predictive analytics or equivalent field
- Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent)
- Excellent coding skills in Python, SQL, and Bigdata technologies
- Experience leading end-to-end data science project implementation
- Experience managing a small team either through formal or informal reporting relationship
- Experience with developing recommendation engines is preferred
- Experience working in a Healthcare organization or with healthcare data preferred
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