Job Type: Senior Data Scientist from home
Location: New York work from home
Company: CVS Health

Responsibilities:

• Evaluates possibilities and probable future outcomes by developing and/or utilizing algorithms, statistical predicting models, and determining analytical procedures and modeling techniques.
• Analyzes organized and unstructured data using sophisticated statistical methods, mathematical modeling, and in-depth understanding of the organization and/or industry to resolve many and/or complicated business problems.
• Collaboratively develops predictive modeling, statistical analysis, data reporting, and performance indicators with business partners in order to comprehend their issues and objectives.
• Creates presentations and consultations on analytics results and solutions for current and potential constituencies, and takes part in both.
• Exchanges complex information relating to areas of specialization with peers and supervisors both inside and outside the organization.
• Utilize a solid understanding of algorithms and prediction models to research issues, identify trends, and offer recommendations
• Utilize your superior programming abilities to investigate, analyze, and comprehend a variety of data types and quantities.

Requirements:

Required credentials

• 3+ years’ experience in related analysis
• R or Python programming experience SAS or SQL proficiency

Preferred qualifications

• Great aptitude for explaining technical ideas and ramifications to business partners
• Has a strong understanding of advanced analytics tools and languages to examine massive data sets from many data sources before problems and barriers arise.
• Demonstrates mastery of the majority of mathematical analysis techniques, machine learning, statistical analysis, and predictive modeling, as well as in-depth expertise in a few fields

Education

• A bachelor’s degree in mathematics, statistics, computer science, business analytics, economics, physics, engineering, or a closely related field, or the equivalent in work experience.
• Ph.D. or master’s degree recommended

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