Senior Data Scientist
At a glance
Senior Data Science role at Ecolab. Bangalore · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Design and run data science research to solve a broad range of challenging problems
- Find and test new ways to shape data science solutions, then help refine and deploy them
- Contribute key technical work to projects and experiments with meaningful business impact
- Choose technical methods with some independence to meet project goals
What you bring
- A degree in data science, mathematics, statistics, computer science or a related area
- A bachelor's degree plus six to eight years of related experience, or a master's plus three years
- Alternatively, a doctorate with under two years of related experience
Who this fits
This role suits a senior data scientist who can contribute technically to moderately scoped, complex projects and use judgment in choosing an approach. You’ll usually report to a data science manager or a more senior technical lead.
From the employer
Job Characteristics:Demonstrates full use and application of data science principles, methods, theories, and concepts to assignments where precedents may exist. Demonstrates working knowledge of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify and explore novel approaches to data science solutions. Makes strong contributions to the exploration, refinement and deployment of data science solutions.
Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 6-8 years related experience or MS and 3 years related experience or PhD and less than 2 years experience.
Independence level/Reports to:Acts as a key data science contributor on projects/experiments of moderate scope and complexity with high impact on the business. Acts with moderate latitude in determining technical approach required to meet desired objectives. Normally reports to Data Science Manager or more senior technical leader.
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