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Data Scientist - Advanced Analytics and Data Science

Lilly
Indianapolis, Indiana, United States of America
Full-time

We’re looking for people who are determined to make life better for people around the world.

Organization Overview :

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives.

Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Main Attributes :

Strong analytical skills

Problem-solving skills

Excellent communication skills

Attention to detail

What You'll Be Doing :

As a Data Scientist in Indianapolis, IN you will be responsible for analyzing complex data sets, developing predictive models, leveraging generative AI, and identifying insights that can be used to drive business decisions.

You will work closely with cross-functional teams across the enterprise to understand business problems, develop hypotheses, and test those hypotheses with data.

How You'll Succeed :

Develop and implement machine learning algorithms to analyze large data sets

Collaborate with stakeholders to understand business problems and provide data-driven solutions

Communicate insights and recommendations to technical and non-technical stakeholders

Conduct research to identify emerging trends and technologies

Manage and prioritize multiple projects simultaneously

Responsibilities :

Solve complex business problems with advanced analytics and AI / ML methods

Develop and implement predictive models

Communicate insights and recommendations to stakeholders

Collaborate with cross-functional teams

Stay up-to-date with emerging trends and technologies in data science

Ensure data quality and accuracy

Basic Requirements :

Ph.D. in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering or quantitative related field

OR Master in Computer Science / Computer Engineering or related field with at least 4 years related working experience.

Experience with machine learning algorithms and statistical modeling

Proficiency in programming languages such as Python or R

Additional Preferences :

Experience with machine learning algorithms and statistical modeling

Proficiency in programming languages such as Python or R

Excellent communication and presentation skills

Strong problem-solving and analytical skills

Ability to work with diverse data sources and data types

Familiarity with data visualization

Ability to work in a fast-paced, collaborative environment

Experience with deep learning algorithms and reinforcement learning

Familiarity with cloud computing platforms such as AWS or Azure

Knowledge of generative AI applications

Experience with data engineering and data pipeline development

Strong leadership and project management skills

Other Considerations :

This position is based in Indianapolis, IN

Hybrid work schedule

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.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles.

Our current groups include : Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities.

Learn more about all of our groups.

WeAreLilly

30+ days ago
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