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BU Tech @Lilly Data Scientist

1 month ago

Bengaluru, India Lilly Full time

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

Data Scientist – BU IDS

Lilly Purpose:

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 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 globe.

Job Description:

We are looking for a skilled and experienced Data Scientist to join our team. The key responsibilities include:

· Partner with key business partners and work within team to identify, scope, and execute 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

· 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

· Streamline and prepare data for analysis through understanding of data flow and integration

· Creating and driving standards for data capture, storage, and transformation.

Basic Qualifications:

· Master in Statistics, Computer Science, Biostatistics, Operations Research, MIS or related areas OR a Bachelors in Statistics, Computer Science, Biostatistics, Operations Research, MIS, or related areas with at least 2 years of related working experience

Additional Information:

· Strong proficiency in SQL, Python

· Deep knowledge of database structures

· Strong communication skills

· Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.

Responsibilities

Apply statistical methods, machine learning algorithms, and data visualization tools to analyse large and complex data sets. Develop and implement end-to-end data pipelines, from data acquisition and processing to model development and deployment. Communicate and present data analysis results and insights to both technical and non-technical audiences. Work closely with cross-functional teams to understand business needs and objectives, and translate them into data-driven solutions. Research and evaluate new data sources, methods, and technologies to improve data quality and analytical capabilities.

Qualifications

Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Engineering, or a related field. 8 to 10 years of experience in data science, analytics, or related roles. Proficient in Python, R, SQL, or other programming languages for data analysis. Experience with data wrangling, exploration, and visualization tools such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc. Experience with machine learning frameworks and platforms such as TensorFlow, PyTorch, Keras, Spark MLlib, etc. Experience with cloud computing services such as AWS, Azure, GCP, etc. Strong knowledge of statistical concepts and methods, such as hypothesis testing, regression, classification, clustering, etc. Excellent communication, presentation, and storytelling skills. Ability to work independently and collaboratively in a fast-paced and dynamic environment.

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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