Aetna Lead Data Scientist in Hartford, Connecticut

Req ID: 40877BR


Aetnas Consumer Health Services Clinical Analytics team is seeking a Lead Data Scientist to develop advanced analytic solutions to improve effectiveness of our Pharmacy business. This position will use predictive and behavioral analytics, and analytically derived insights to develop and test solutions that improve consumer and provider engagement, health outcomes and lower health care costs.

Fundamental Components:

Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques

Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing

Behaves as mentor to junior team members to provide technical advice

Collaborates with business partners to develop technical /business approaches and new or enhanced technical tools.

Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.


Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources

Experience using R and Python to manipulate large datasets and develop statistical models

Knowledge of data management in a Hadoop environment, including use of HIVE or Pig

Strong skills to effectively communicate and negotiate across the business and in the external health care environment


7 or more years of progressively complex related experience

Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas.

Solid understanding of health care industry, products, and systems preferred


The highest level of education desired for candidates in this position is a Master's degree.


This position is a unique opportunity for someone passionate about applying innovations in data science and machine learning to improve health care services and outcomes. The team uses an industry leading scalable data platform and techniques in creating solutions to challenging business problems. You would be part of a new and expanding Pharmacy Analytics team, with plenty of opportunities to interact with project stakeholders and business partners at all levels of the organization. You will be responsible for partnering with Aetna Pharmacy business leaders to understand their operations and data, and developing insights to support their decision making. You will extract and manipulate claims and prescription data from multiple, large data sources, and use advanced statistical techniques and mathematical analyses to identify trends, evaluate scenarios and make predictions on future outcomes and value drivers. This is a fast-paced, collaborative and iterative environment requiring quick learning, agility and flexibility.

Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come.

We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence.

Together we will empower people to live healthier lives.

Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities.

We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard.

Benefit eligibility may vary by position. Click here to review the benefits associated with this position.

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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