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Data Scientist

4 months ago

Bengaluru Karnataka, India Lilly Full time

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.

**Eli Lilly Services India Pvt Ltd**

**Business Insights & Analytics - First Party Data: Data Scientist**

**About the team**:
As Eli Lilly strives to achieve its purpose of making life better for patients, we have been building up our in-house ‘Consumer Experience’ function, which will design and execute next-generation digital marketing campaigns aimed at informing and educating consumers (or patients) directly.

To support the Consumer marketing teams in their decision-making, a data and analytics team has been set up in Indianapolis (HQ) and Bengaluru (LCCI). This team uses works closely with business stakeholders to enable them to make more informed, data driven decisions. A key area of expansion for the team in 2024 is to help facilitate the implementation of a CDP (customer data platform). As part of this team, we are excited to offer the role of a data scientist who will be an integral part of the implementation and scaling of this CDP.

**Core Responsibilities**:

- Use Applied statistics, Machine Learning and Deep learning techniques and build models to answer business questions at the intersection of the pharmaceutical and digital marketing spaces to provide value to marketing and media teams.
- Use statistical and machine learning techniques to analyze customer data within the CDP.
- Implement predictive models to make real-time decisions with the CDP.
- Build and maintain deep knowledge of the continuously evolving digital marketing landscape.
- Continuous learning and experimenting new with possibilities for consumer marketing analytics.
- Collaborate with cross functional teams and external consultants to help review or translate this work to other team members.

**Required**
- 2-6 years of relevant experience.
- Demonstrated in-depth hands-on experience in building models using statistical (Regression, Clustering, Causal Inference, Time series Analysis), ML modelling techniques (Gradient boosting trees, Support Vector Machine, KNN) and Deep Learning (RNNs, LSTM, Transfer learning-based object detection, NLP)
- Proven experience working with Customer Data Platforms (CDP) or Data Management Platform (DMP) or CRM tool is preferred.
- Strong prior experience in data science projects from start to finish (including ideation, data exploration, modelling for prediction AND inference and results generation)
- Highly Proficient in R and Python and Either one of deep learning frameworks Keras/PyTorch
- Good to have - Ability to write basic SQL.
- Creative problem solving, attention to detail, flexibility and adaptability.
- Comfort with ambiguity and a willingness to work with a high degree of autonomy.
- Demonstrated ability to meet deadlines while managing multiple large-scale projects in a fast-paced and rapidly changing environment.
- Strong interpersonal communication skills (written and verbal)

**Preferred Qualifications**
- Experience working with digital data for Healthcare/Retail/BFSI/Digital native companies
- Familiarity with cloud technology and AWS services for analytics
- Familiarity with Machine Learning Productionization workflows Docker containers etc

**Education**:

- PhD / Master’s degree in technology, statistics, econometrics, operations research or computer science from top educational institutes (IITs / IISc)

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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