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Eli Lilly and Company

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3.8

based on 441 Reviews

Video summary

58 Eli Lilly and Company Jobs

Senior Scientist

Eli Lilly and Company

3.8

based on 441 Reviews

3-6 years

Bangalore / Bengaluru

1 vacancy

Senior Scientist

Eli Lilly and Company

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Pharmacy Python SQL Artificial Intelligence Healthcare Machine Learning

+ 3 more

Job Description

We are seeking a highly skilled Data Scientist with Data Engineering expertise to join our AADS team and work closely with the Japan affiliate. Candidate should have a strong background in machine learning, statistical analysis, and data engineering, wit h experience in handling large healthcare datasets. As a senior scientist, you will work closely with cross-functional teams ( Japan s MR team, all brand marketing teams, NPP team, Finance team, etc ) to develop data-driven solutions that enhance business decision-making, optimize commercial operations, and drive insights for marketing and sales strategies.

Serve as trusted advisor by actively participating in various phases of the projects (including kick-off, methodology development, execution, insight generation and data visualizations)
Effectively communicate with stakeholders to present the final outcomes and provide recommendations as needed
Build deep expertise on statistical/AI/ML techniques combined with strong knowledge of the commercial pharma business and the problems that are being solved by data and analytics
Interface with the cross functional partners across the organization, including data engineering, data analytics, data science, IT, and other groups to adopt efficient working models and deliver on high impact projects
Network with industry experts and external consultants as needed to develop, test, and implement new approaches and solutions for data science capabilities at LCCI

3-6 years of relevant work experience with demonstrated experience of working as data scientist.
Strong foundational understanding in applied statistics
Extensive experience working on the areas of machine learning and artificial intelligence, deep learning, natural language processing and other approaches to structured/unstructured data.
Proficiency in R and SQL (experience with Python is a plus)
Strong analytical and problem-solving skills to be able to structure and solve open ended business problems (pharma experience is highly preferred)
Experience with practical implementation of emerging AI and ML research concepts highly preferred
Familiarity with data visualization tools like Tableau, Power BI and experience with SQL and NoSQL databases.
Excellent Communication Skills required to explain complex data insights to non-technical stakeholders.
Experience with AWS cloud services (S3, EC2, Lambda, Glue, EMR, RDS) is preferred.