National Search Services is looking for a Data Scientist I located in the St. Louis area. This is a permanent full time position.

Location and Pay Range:

• St. Louis, MO

Description:

• Position Purpose: 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.
• 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.
• Create analysis and data reconciliation through SAS, R and other tools, to include healthcare provider data, claims data, membership data.

Requirements:

• 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, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL.

WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.