Data Scientist I

Centene Corporation•Remote-MD, MD

1d•$70,100 - $126,200•Hybrid

About The Position

Responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation. Perform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs. At Centene, we connect people to the care they need to live healthier lives — and the work you do here makes that impact real every day. You’ll take on meaningful challenges that directly support individuals, families, and communities, building your skills while making healthcare more accessible and effective. It’s work with a purpose you can see, backed by a team committed to improving lives well beyond the workday.

Requirements

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.
Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1+ years of experience or Bachelor’s degree and 3+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
Experience with database technologies.

Nice To Haves

Programming in R, Python, and SQL
Experience with R Studio
Familiarity with and ability to use Databricks volumes/delta tables and notebooks
Familiarity with and ability to use Snowflake
Experience with predictive modeling, exploratory data analysis, and data visualization

Responsibilities

Designs and develops data models to predict member outcomes or future impact of key member decisions.
Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs.
Conduct exploratory data analysis from complex data sources and build key data sets to support company mission operational analysis.
Evaluate and design experiments to monitor key metrics and identify improvement opportunities.
Develop of mathematical and statistical models to distinguish relevant content or events and recognize patterns.
Participate in presentations and communicate results of research analysis and findings.
Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.