Senior Data Scientist II

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Business Insights and Analytics: Data Scientist

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We’re looking for people who are determined to make life better for people around the world.

The LCCI (Lilly Capability Center India), BI&A (Business Insights & Analytics) team was started in 2017 with the objective of supporting business decisions for the commercial and marketing functions in the US and ex-US affiliates. This team is part of the LCCI - Commercial Services organization and works very closely with business analytics team based in Indianapolis (HQ). The team currently comprises of more than 100 staff members, with varied backgrounds and skills across data management, analytics and data sciences, business and commercial operations etc.

To better meet the evolving analytics needs, the LCCI BI&A team is ramping up the data sciences pillar. We are looking for a Data Scientist with expertise in optimization techniques

Key responsibilities include:

• Partner with key business partners and work within team to identify, scope, and execute predictive analytic efforts that leverage data to answer business questions, solve business needs, and add business value
• Maintain a broad understanding of the pharmaceutical industry (from discovery to commercialization) and be fully engaged with teams, bringing an objective voice to the table, and facilitating decisions grounded in data
• Hands on experience in optimization methods such as convex or non-linear mixed integer
• Collaborate with other analytics team members to review and provide feedback on the analytics work being done, and be willing to seek feedback from other team members about your own work
• Stay current with respect to new analytical methods in the area of optimization, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
• Agility and flexibility to work with very diverse problems and business partners
• Ability to work with diverse data sources and data types

Basic Qualifications:

• Background in Operations Research, Applied Math, Computer Science or closely related field, OR Master in Operations Research, Applied Math, Computer Science or closely related field with at least 5 years of related working experience
• Deep and broad knowledge of optimization methods (convex, nonlinear, mixed integer) and tools and best practices
• Strong communication skills
• Strong computational skills

Additional Information:

• Fluency in languages like R, SAS, SQL, and optimization software (like GAMS, etc.)
• Make the impossible possible in your quest to make life better.
• Bring Analytics to life by giving it zeal and making it applicable to our business.
• Know, learn, and keep up-to-date on the analytical, computational and scientific advances to maximize your impact.
• Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.
• 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.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly 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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