Senior Data Scientist @ Eli Lilly and Company

Senior Data Scientist @ Eli Lilly and Company

he position is responsible for the design, development, enhancement, debugging and implementation of data processing and analytic platforms (Internal and 3rd Party Tools) utilizing Agile methodology

Data science roles use data to create insights that inform business/scientific decisions. They use their analytical, statistical, and programming skills to collect, analyze, and interpret data. They use this information to develop data-driven solutions to difficult business challenges.

As defined by the Skills Foundation for the Information Age (SFIA), Analytics is the application of mathematics, statistics, predictive modelling and machine-learning techniques to discover meaningful patterns and knowledge in recorded data.

Key competencies needed for data science roles are listed below and described in sections that follow.

Analysis Planning - they must collaborate with business domain professionals (biologists, chemists, statisticians, etc.) to understand the business problem.

Analyze Data - uses statistical methods coupled with their business domain knowledge to find patterns, build models, and algorithms with the intention of gaining new insights that ultimately lead to improved business domain processes and products.

Storytelling - is the process of translating data analyses into layman's terms in order to influence a business/scientific decision or action.

1.     Technical Competency

Design - they need to design and implement data schemes in Cloud-based environments;

Process - they must be efficient in formatting, processing and integrating terabytes of data;

Automation - they are expected to automate the process into a scalable and sustainable workflow.

TO APPLY https://www.linkedin.com/jobs/view/1802170674/