Engineering Data Science Analyst

Aetna

(New York, New York)
Full Time
Job Posting Details
About Aetna
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.
Summary
Aetna’s PDS Analytics Engineering team is currently looking for an exceptional Engineering Data Science Analyst to play a pivotal role in either our Hartford, CT, Wellesley, MA or New York, NY location. PDS strategic objectives include data movement analytics, payment integrity, marketing digitization, data governance and analytics engineering.
Responsibilities
* Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions. * Explores, examines and interprets large volumes of data in various forms. * Performs analyses of structured and unstructured data to solve moderately complex business problems utilizing advanced statistical techniques and mathematical analyses. * Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. * Uses data visualization techniques to effectively communicate analytical results and support business decisions. * Creates and evaluates the data needs of assigned projects and assures the integrity of the data. * Explores existing data and recommends additional sources of data for improvements. * Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.
Ideal Candidate
**Background/Experience** * 3 years of relevant programming or analytic experience. * Ability to work with large data sets from multiple data sources. * Demonstrates proficiency in several areas of data science including data engineering and data analytics, and data visualization. * Experience big data technologies such as Python, R, Hadoop, and Hive. * Demonstrates good written and verbal communication skills. **Education** Master's degree preferred.
Compensation and Working Conditions
Benefits Benefits included

Questions

Answered by on
This question has not been answered
Answered by on

There are no answered questions, sign up or login to ask a question

Want to see jobs that are matched to you?

DreamHire recommends you jobs that fit your
skills, experiences, career goals, and more.