Senior Data Scientist for Operations Research

Aetna is a diversified health care benefits companies, providing individuals, employers, health care professionals, producers, and others with innovative benefits, products, and services. It is serving an estimated 46.7 million people with information and resources to help them make better decisions about their health care.

The Sr. Data Scientist – Operations Research on the Aetna Digital Business Intelligence team will run the gambit turning data into information and wisdom through the development and automation of simple and complex reports utilizing different technologies, testing for the existence of theories through complex modeling, mining extremely large data sets, communicating theories/approaches and results to different levels of stakeholders, and dropping any ego in discussions to build a friendly and helpful environment in which we all enjoy working. There will be a component of helping train others, and learning from others, so a willingness to help grow the skill sets of team members as well as their own is a core aspect of this position.

* Develop and automate reports ranging in complexity from basic application utilization to complex outcomes evaluation analysis. * Apply simple and complex mathematical models in order to sniff out and test for the effects of theories in the real world. * Communicate findings and new capabilities to a wide range of stakeholders; from CEO's and Presidents to low level engineers and developers. * Deploy a developed model onto a server or in a cloud based data architecture, tailoring implementation methods to match scale, speed, and complexity of the problem we are trying to solve. * Work towards the goal of creating a cross-functional team capable of working from a Kanban. * Utilizing agile software development rituals to align closely with dev teams and deliver value through integrating data derived insights and capabilities into the application.

**Background/Experience** * 5+years experience in a position requiring complex analytics in a team based atmosphere. * Strong knowledge of programming languages/tools including: R, Python, Spark, SQL, Hive, d3.js, Tableau, Adobe, Java, node.js. * 3+ years in application development/software industry. * Experience analyzing big data to process in memory (tera- or petabytes). * Ability to work with large data sets from multiple data sources. * Demonstrated ability to communicate technical ideas and results to non-technical clients in written and verbal form. * Strong organizational skills; excellent analytical and problem solving skills. **Education** The highest level of education desired for candidates in this position is a Master’s Degree.