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
Principal Data Scientist/Architect - 63827BRPrimary Location: Phoenix, Arizona
Additional Locations: AZ-Phoenix, CO-Denver, CT-Hartford, PA-Blue Bell Apply
63827Fundamental Components: Helping define, drive and deliver all aspects of the data science product lifecycle, from requirements gathering, education, and strategy, to study design, solution architecting, programming, testing, implementation, delivery, and iteration of data science analytics products.
Extensive experience with the analytics space, including hybrid cloud computing environment and architecture, agile & scrum principles, data science, big data, machine learning, AI, data science workflow and development lifecycle and success criteria / MVP development for data science products.
Responsible for the end-to-end creation and deployment of new analytic offerings to support mostly internal global security customers, but indirectly benefit external customers and partners.
Analyzing log, security, and cybersecurity intelligence data and using quantitative methods to create actionable and timely data products.
Presents to management and existing security personnel information services, capabilities and performance results. Presents analysis recommendations to management.
Deep knowledge in machine learning, statistical analysis, security, and network data to model risk-driven models of consumer and workforce behavior and provide context to security analysts to drive business decisions. Provides strategic leadership and proactively recommends innovative research techniques and customer engagement opportunities.
Contributes to a motivated work environment by working effectively to achieve common goals. Background Experience: Excellent analytical and problem-solving skills.
Experience with architecture and compute environment of hybrid cloud solutions.
Strong organizational, management and leadership skills.
Superior skills to effectively communicate and negotiate across the business and in the external health care environment.
Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form.
Expertise in advanced analytics tools and languages to analyze large data sets from multiple data sources.
Expertise in innovating and implementing novel machine learning techniques.
Comprehensive knowledge on health care industry, products, systems, business strategies and products.
Demonstrates advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling.
10 or more years of progressively complex related experience.
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Master’s degree or PhD preferred.
#LI-DI1 Additional Job Information: Knowledge of security and risk management, fraud detection, security standards, and machine learning models. Desired Skills: General Business - Communicating for Impact, General Business - Consulting for Solutions, General Business - Demonstrating Business and Industry Acumen Functional Skills: Information Technology - Security Potential Telework Position: Yes Percent of Travel Required: 10 - 25% 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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