Data Science Optimization Specialist
4 weeks ago
We are seeking a highly skilled Data Science Optimization Specialist to join our team at Lilly. The ideal candidate will have a strong background in operations research, applied math, or computer science, and will be able to apply optimization techniques to drive business value.
The successful candidate will be responsible for partnering with key business partners to identify and execute predictive analytic efforts that leverage data to answer business questions and solve business needs. They will also maintain a broad understanding of the pharmaceutical industry and be fully engaged with teams, bringing an objective voice to the table and facilitating decisions grounded in data.
Key responsibilities include:
- Developing and implementing optimization models to drive business value
- Collaborating with analytics team members to review and provide feedback on analytics work
- Staying current with respect to new analytical methods in the area of optimization
- Agility and flexibility to work with diverse problems and business partners
- Ability to work with diverse data sources and data types
Basic qualifications include a background in operations research, applied math, or computer science, or a master's degree in a related field with at least 3-5 years of related working experience. Strong communication and computational skills are also required.
Additional information includes fluency in languages like R, SAS, SQL, and optimization software, as well as a strong desire to learn and innovate.
Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.
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