Data Scientist, Operations Research, Entry Level
$55 - $60 per hourjobright.com
Data Scientist, Operations Research, Entry Level Join to apply for the Data Scientist, Operations Research, Entry Level role at Jobright.ai Data Scientist, Operations Research, Entry Level Join to apply for the Data Scientist, Operations Research, Entry Level role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Cardinal Health is seeking a Data Scientist, Operations Research Analyst to join their Decision Science Solutions team, focusing on enhancing the pharmaceutical supply chain's performance. The role involves analyzing business processes, developing predictive and optimization models, and collaborating with cross-functional teams to drive actionable insights and solutions. Responsibilities:
- Listen to clients and ask questions to clearly define business problems.
- Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.
- Develop predictive models to forecast future volumes that will drive capacity/resource needs.
- Develop customer and product segmentation models and design our supply chain to support differentiated services.
- Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.
- Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.
- Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.
- Work with Data Engineers to create data models for analyses.
- Proven ability to work as part of a team as the key analytical resource
- Excellent communication skills with an ability to explain quantitative analysis in simple business terms
- Intellectual curiosity, humility, genuine respect and desire to help others
- Bias for action and passion for driving change
- Ability to travel up to 5%
- 2-4 years of experience, preferred
- Bachelor's degree in a quantitative field, or equivalent work experience, preferred
- MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred
- Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred
- Experience with Structured Query Language (SQL) and working with databases preferred
- Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred
- Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred
Vacancy posted 2 days ago
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