Data Scientist

Company:
Location: St. Louis, MO 63110

*** Mention DataYoshi when applying ***

Job Description
Be a part of the most exciting company in healthcare that is making medicine smarter and more affordable using data and decision science. This position is responsible for developing solutions to increase revenue and margin by utilizing Predictive Modeling, Segmentation and Machine learning methods.
In addition, this position will be providing thought leadership in advanced analytic projects and solutions. The candidate should think strategically about the data and be willing to work in a dynamic and fast-paced environment without compromising the quality of work. The candidate will need to champion and drive projects from inception to delivery by working with senior leaders and business partners (Technology, Clinical, Operations, etc).

ESSENTIAL FUNCTIONS
Lead the development of new Predictive, Forecasting and Natural Language Processing (NLP) models working with internal stakeholders from gathering requirements to delivery.
Perform data mining by applying machine learning and supervised learning algorithms.
Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysis
Visualize, interpret, report, and communicate data findings creatively in various formats and audiences using Tableau, ggplot.
Think creatively and work well both as part of a team and as an individual contributor.

QUALIFICATIONS
Degree in Statistics, Applied Mathematics, Computer Science, Econometrics, Finance, Engineering, Operations Research, Bioinformatics, Information Systems, or related quantitative disciplines, with a minimum of five years of relevant experience (Bachelor’s required, Master’s or PhD’s preferred)
Expert in analytical tools like R, SQL, Python, Spark.
Have hands-on experience developing predictive models using analytical methods such as regression, decision trees, support vector machines, Random Forests, Neural Networks.
Have hands-on experience using relational database and distributed systems (Oracle, Teradata, SQL Server, Hadoop etc.)
Expertise in visualization tools like Tableau, ggplot is a plus.
Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences
Excellent interpersonal and collaboration skills

SCOPE OF JOB
As the Data Science Advisor this candidate will be a high-level individual contributor to the team ensuring the group stays on top of the latest methodologies and trends in quantitative approaches to “Big Data” opportunities. Additionally this candidate

About Cigna
Cigna Corporation (NYSE: CI) is a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. We offer an integrated suite of health services through Cigna, Express Scripts, and our affiliates including medical, dental, behavioral health, pharmacy, vision, supplemental benefits, and other related products. Together, with our 74,000 employees worldwide, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation.

When you work with Cigna, you’ll enjoy meaningful career experiences that enrich people’s lives while working together to make the world a healthier place. What difference will you make? To see our culture in action, search #TeamCigna on Instagram.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.

*** Mention DataYoshi when applying ***

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