Data Scientist, Operations Research, Entry Level

Jobright.ai; California (MO); On-site; USD 77,000 - 134,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading healthcare company seeks an entry-level Data Scientist, Operations Research Analyst for their Decision Science Solutions team. This role involves analyzing business processes, developing predictive models, and collaborating with teams to enhance supply chain performance. The ideal candidate will possess a bachelor's degree in a quantitative field and strong communication skills.

Qualifications

• Proven ability to work as part of a team as the key analytical resource.
• Ability to explain quantitative analysis in simple business terms.
• Willingness to travel up to 5%.

Responsibilities

• Analyze business processes and develop predictive models.
• Collaborate with teams to drive actionable insights.
• Build optimization models to improve supply chain performance.

Skills

Team collaboration

Excellent communication

Intellectual curiosity

Action-driven mindset

Education

Bachelor's degree in a quantitative field

MS/MBA with focus in Data Science

Tools

SQL

R

Python

Data analysis tools

Job description

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

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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.

Qualifications:

Required:

• 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%

Preferred:

• 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

Company:

Cardinal Health is a manufacturer and distributor of medical and laboratory products. Founded in 1971, headquartered in Dublin, Ohio, USA, team size 10001+ employees, currently Public Company. Cardinal Health has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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