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Data Scientist Senior
Location: This position will work a hybrid model (remote and office). Ideal candidates will live within 50 miles of the following PulsePoint location. 233 South Wacker Drive, Suite 3700, Chicago, IL 60606
Hours: Monday to Friday, 8:00 am to 5:00 pm
The Data Scientist Senior will develop and implement predictive modeling algorithms and techniques to solve more complex business problems and optimize member experiences.
How you will make an impact:
• Design and lead predictive modeling projects to address more complex business problems determined by consultation with business partners.
• Process massive data-streams in distributed computing environments such as Hadoop to facilitate analysis.
• Recommend appropriate batch and real-time model scoring to drive actions.
• Provide 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.
• Provide actionable insights to output produced to ensure established targets are met.
• Determines the continuous improvement opportunities of current predictive modeling algorithms.
• Proactively collaborate 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.
Minimum Requirements:
Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Biostatistics, or a related field. Five (5) years of experience working in related occupation(s).
Additional Requirements:
Five (5) years of experience must include:
• Five (5) years of experience in predictive analysis.
• Three (3) years of experience with Python, R, and SAS Enterprise Miner.
• Three (3) years of experience leading end-to-end data science project implementation.
• Three (3) years of experience performing casual analysis and experimental design.
• Three (3) years of experience collaborating with business stakeholders to establish and communicate experimental methodologies and findings.
• ALTERNATE EDUCATION/EXPERIENCE REQUIREMENTS: Employer will accept a Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Biostatistics, or related field and three (3) years of experience with predictive analysis.
• Must have skills listed above.