
Data Scientist
At Eli Lilly and Company, we are seeking a talented and driven Data Scientist to join our dynamic team. As a Data Scientist, you will play a crucial role in leveraging data to drive business decisions and develop innovative solutions for our pharmaceutical company. We are looking for someone who is passionate about data and has a strong analytical mindset. If you thrive in a fast-paced and collaborative environment and have a deep understanding of statistical modeling, machine learning, and data visualization, we would love to have you on our team. Join us in our mission to make life better for people around the world through the power of data-driven insights.
- Conduct data analysis and apply advanced statistical and machine learning techniques to identify trends, patterns, and insights that can drive business decisions.
- Develop predictive models and algorithms to support key business initiatives and improve overall performance.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
- Design and implement experiments to test hypotheses and validate data models.
- Communicate findings and results to both technical and non-technical stakeholders in a clear and concise manner.
- Stay up-to-date with the latest developments and advancements in data science and bring new ideas and techniques to the team.
- Ensure data accuracy, completeness, and consistency through data cleaning and validation processes.
- Develop and maintain data infrastructure and tools to support data analysis and modeling.
- Participate in the development and implementation of data governance policies and procedures.
- Mentor and train junior data scientists and provide guidance on best practices and methodologies.
- Collaborate with external partners and vendors to leverage external data sources and expertise.
- Adhere to legal and ethical standards for data privacy and security.
- Proactively identify and address potential data quality and integrity issues.
- Contribute to the development and maintenance of data science frameworks and methodologies.
- Continuously improve data processes and workflows to increase efficiency and effectiveness.
Strong Analytical And Problem-Solving Skills.
Experience With Data Mining And Machine Learning Techniques.
Advanced Degree In A Quantitative Field Such As Statistics, Mathematics, Or Computer Science.
Proficiency In Programming Languages Such As R, Python, Or Sql.
Ability To Communicate Complex Data Findings To Non-Technical Stakeholders.
Sql
Programming
Python
Data Analysis
Big Data
R
Machine Learning
Data Visualization
Natural language processing
Data Mining
Statistical modeling
Predictive analytics
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Scientist in Houston, TX, USA is between $90,000 and $120,000 per year. This may vary depending on the specific industry, company, and level of experience. Some senior level data scientists may earn upwards of $150,000 per year. Additionally, bonuses and other benefits may also be offered.
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Eli Lilly and Company is an American pharmaceutical company headquartered in Indianapolis, Indiana, with offices in 18 countries. Its products are sold in approximately 125 countries. The company was founded in 1876 by, and named after, Col. Eli Lilly, a pharmaceutical chemist and veteran of the American Civil War.

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