Senior Data Scientist - Remote Nationwide

About the Role

Key Responsibilities

• Work with business to develop and operationalize analytic solutions
• Engage in communications for all important functions including data understanding/exploration, strategizing solutions etc.
• Leverage big data analytics infrastructure comprising Hadoop, MapR, Python, H2O, Spark and Snowflake to solve complex business problems in the healthcare domain
• Collaborate with fellow data scientists, business analysts and subject matter experts to design and oversee the development of working prototypes of data science solutions
• Participate in Sprint Planning and Sprint Review meetings with the Scrum Team and project stakeholders
• Support and drive analytic efforts around machine learning and innovation
• Communicate analytic results and predictive models to business partners
• Manipulation and analysis of data in support of a variety of analytic solutions
• Work with vast amounts of data from multiple sources to provide predictive and prescriptive analytics to the enterprise
• Produce innovative solutions driven by exploration data analysis from unstructured, diverse datasets typically measured in gigabytes or larger
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
• Use a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data
• Work with analytics and statistical software to perform analysis and interpret data

Requirements

• High School Diploma/GED (or higher)
• 5+ years of experience as a Data Scientist
• 5+ years of experience with SQL, R, Python, Hadoop, PowerBI and Snowflake
• 5+ years of demonstrated experience using programming to solve complex technical problems
• 5+ years of demonstrated experience accessing data from various data environments

Nice to Have

• Degree in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar
• Experience in analytics / data science in a business or academic context
• Ability to break down and clearly define problems
• Demonstrated ability to own and deliver projects that deliver real business value
• Strong communication, presentation and influencing skills

Qualifications

• Experience in analytics / data science in a business or academic context
• Ability to break down and clearly define problems
• Demonstrated ability to own and deliver projects that deliver real business value
• Strong communication, presentation and influencing skills

Benefits & Perks

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Flexible telecommuting options