At Aetna, we’re pioneering a total approach to health and wellness. As a Data Scientist on the Analytics & Behavior Change team, you’ll build leading-edge analytics, data and technology platforms to help reimagine health care. We’ll count on you to help solve problems and deliver meaningful insights to our customers by leveraging innovations in data science, machine learning and predictive modeling techniques. And we’ll support you in achieving more in your life and your work.
What makes a successful data scientist? Here are the traits we are looking for:
Paid Time Off & Disability
At Aetna Analytics, the team uses machine learning techniques and data visualization to derive insights from the data to guide our efforts to understand and care for our members more effectively and at a lower cost. Each team member is responsible for a new weekly insight. We have a great mix of new graduates and senior data scientists. I’m constantly blown away at the talent, creativity and drive on our team!Karen S., Senior Director - Enterprise Analytics
Working at Aetna, gives you the opportunity to use the data to make a change. A change that could save lives, could prevent fraud, a change that really matters and a chance to work with like-minded people to make a difference. A great team, helpful colleagues, intelligent co-workers make the journey to learn and innovate that much more fun.Tanvi K., Data Scientist - Clinical Analytics
Senior Data ScientistPrimary Location: Hartford, Connecticut
Additional Locations: CT-Hartford Apply
64275Fundamental Components: You will collaborate with team members to analyze large amounts of data from our infrastructure systems. Build models with the use of machine learning, deep learning and similar technologies. Prototype these models by using software languages such as Python or relevant modeling languages to explore, examine and interpret large volumes of data in various forms. Interact with customers to develop an understanding of their business requirements and operational processes. Independently support processes related to the implementation of systems into production, including integration of purchased solutions. Design, code, test, debug, and document those models. Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions. Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Background Experience: Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field • Exposure to machine learning with domain knowledge and experience in the following areas: anomaly detection, time-series data analysis and modeling, unsupervised learning, feature extraction and analysis, supervised learning, data-driven statistical modeling • Experience in software development, or an equivalent combination of education and work experience • Fluency or strong ability to learn a software programming language such as Python, Java, C++, etc. • Experience with data extraction and analysis Additional Job Information:
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or an equivalent combination of education and experience. Master's degree preferred. • Agile experience is a plus • Team Player: Willing to teach, share knowledge, and work with others to make the team successful. • Communication: Exceptional verbal, written, organizational, presentation, and communication skills. Should be experienced or comfortable working with a highly distributed team • Creativity: Ability to take written and verbal requirements and come up with other innovative ideas. • Attention to detail: Systematically and accurately research future solutions and current problems. • Strong work ethic: The innate drive to do work extremely well • Passion: A drive to deliver better products and services than expected to customers. Percent of Travel Required: 0 - 10% EEO Statement: Aetna is an Equal Opportunity, Affirmative Action Employer Benefit Eligibility: Benefit eligibility may vary by position. Click here to review the benefits associated with this position. Candidate Privacy Information: Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.
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