Data Scientist Advanced Analytics at Eli Lilly and Company

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceuticals, HealthcareIndustries

Requirements

7–8 years of experience or advanced degree (Master’s/Ph.D.) in Statistics, Machine Learning, Data Science, or related field (B.Tech./Masters/Ph.D.)
Strong expertise in statistical modelling, machine learning, time-series analysis, and simulation techniques
Ability to manage large, diverse datasets and derive actionable insights
Proficiency in Python/R programming
Familiarity with optimisation techniques
Ability to translate business problems into technical solutions
Strong communication skills to engage with stakeholders and simplify technical concepts for non-technical audiences
Passion for solving complex business challenges in manufacturing and supply chain domains
Ability to adapt to evolving business needs

Responsibilities

Design and develop advanced analytics solutions using statistics, machine learning, data science, probabilistic modelling, and optimisation methods
Solve problems such as anomaly detection, time series forecasting, root cause analysis, and bottleneck identification

Skills

Key technologies and capabilities for this role

Advanced AnalyticsData ScienceMachine LearningStatistical ModelingPythonRSQLBig DataPredictive Modeling

Questions & Answers

Common questions about this position

What is the salary range for this Data Scientist position?

This information is not specified in the job description.

Is this Data Scientist role remote or office-based?

The position is located in Bengaluru, India.

What qualifications and experience are required for this role?

Candidates need 7 to 8 years of experience and a B.Tech./Masters/Ph.D. in statistics, Machine Learning, Data Science or related field.

What is the company culture like at Eli Lilly?

Eli Lilly unites caring with discovery to make life better for people worldwide, puts people first, and seeks determined individuals to innovate in healthcare with a research and product-oriented mindset.

What makes a strong candidate for this Data Scientist role?

A strong candidate has 7-8 years of experience or an advanced degree (Master’s/Ph.D.) in Statistics, Machine Learning, or Data Science, and meets the minimum qualifications.

Eli Lilly and Company

Develops and delivers prescription medicines globally

About Eli Lilly and Company

Eli Lilly and Company is a global pharmaceutical company that focuses on discovering, developing, and delivering medicines to improve health. The company has a long history of scientific achievements, including the creation of insulin, the first life-saving treatment for diabetes. Lilly's operations involve extensive research and development to create new medications and enhance existing ones, ensuring they are safe and effective. Their products are primarily prescription medicines sold to healthcare providers for various medical conditions, including diabetes, cancer, and pain management. What sets Lilly apart from its competitors is its strong commitment to ethical practices and the protection of its products from counterfeiting. The company's goal is to enhance lives through innovative medical solutions while maintaining high standards of quality and ethics.

Indianapolis, IndianaHeadquarters

1876Year Founded

$1,180.1MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Competition from Novo Nordisk's Ozempic may impact tirzepatide's market share.

Potential construction delays in Indiana could affect GLP-1 drug production timelines.

Regulatory challenges may hinder Kisunla's expansion in new Alzheimer's markets.

Differentiation

Eli Lilly's rich history includes the first life-saving insulin treatment.

Lilly's strategic partnerships enhance its position in neurodegenerative disease treatments.

FDA approval of Zepbound opens new therapeutic markets for sleep disorder treatments.

Upsides

Lilly's $9 billion complex in Indiana boosts GLP-1 drug production capacity.

Kisunla's approval in China expands Lilly's Alzheimer's treatment market in Asia.

Collaboration with EVA Pharma enhances Lilly's reputation as socially responsible.

Land your dream remote job 3x faster with AI

Try Jobo Free