Be part of Enterprise Data Science team at Evernorth Health Services
Use data science techniques including predictive modeling, machine learning, text mining, segmentation and clustering to develop solutions to increase revenue and improve Member Experience
Utilize Machine Learning for developing next generation of predictive models for targeted business solutions
Support the team in application of Text Mining to mine Voice of Customer data
Develop supervised / unsupervised algorithms, Big Data pipelines for making processes efficient
Work with large datasets including pharmacy and medical claims transactions, member information, voice call transcripts, survey data, web log data
Requirements
Working towards a Master’s degrees or PhD in quantitative disciplines such as Data Science, Statistics, Applied Mathematics, Computer Science, Bioinformatics, Computational Linguistics or related quantitative disciplines
Excellent ability to query large datasets using ANSI SQL/HIVE SQL and working with relational databases
Proficient programming skills either in SAS, R, or Python
Proficient in Basic Probability and Statistics
Proficient with one or more quantitative data analysis languages such as R, Python
Demonstrated coursework / real world application of analytical methods such as Regression, Naïve-Bayes, Decision trees, experimental designs, support vector machines, machine learning and text mining, Natural Language Processing
Proficiency with relational database concepts and SQL preferred
Proficiency in data manipulation, cleansing and interpretation
Experience working in distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS
Experience with visualization tools like Tableau, Shiny, ggplot, Matplotlib
Experience with Microsoft Office Suite
Benefits
Executive speaker series
Volunteer events
Career development workshops
Networking opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
predictive modelingmachine learningtext miningsegmentationclusteringBig Data pipelinesANSI SQLHIVE SQLSASR