Data Scientist
2 weeks ago
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 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, 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.
**Responsibilities**:
- Develop Deep learning models to churn to deliver most optimized Omnichannel Promotional Sequence to be implemented by the sales teams
- Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information;
- Ability to breakdown a business problem into a corresponding statistical problem statement, identify solution approach and constraints thereof
- Collaborate with relevant stakeholders to effectively communicate analysis findings;
- Evaluate emerging datasets and technologies that may contribute to our analytical needs;
- Contribute to thought leadership through research and publication support;
- Guide and mentor Associates through collaboration;
Qualifications:
- Post Grad. Degree in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required or with relevant Data Science certification and experience
- 4-7 years of relevant Machine Learning post-collegiate work experience
- Prior experience using ML techniques to deploy, assess performance and fine tune recommendation engine models (CNN/LSTM, GA, XGBoost etc..), esp. for pharma/biotech/insurance/other healthcare players
- Relevant Mastery in Feature Engineering, Feature Selection and Model Validation on Big Data
- Familiarity with cloud technology such as AWS and knowledge of AWS tools, esp S3, EMR, EC2, Redshift, Glue; viz tools like Tableau and Power BI will be a plus
- Familiarity with Sales / Marketing promotional business is a plus
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.
WeAreLilly
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