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Cargill
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Senior Data Scientist

Senior Data Scientist

Cargill

5 - 8 years

11 - 16 Lacs

Bengaluru

Posted:12 hours ago| Platform:

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Skills Required

continuous integration python sql data visualization aws algorithms natural language processing mathematics predictive machine learning exploratory data analysis data science model development hadoop machine learning algorithms

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Purpose and Impact

The R&D Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's businesses and functions.

Key Accountabilities

Continuously seek out best practices and develop skills.
Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets.
Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope.
Take ownership for the entire data science workflow that includes a well defined, complex project scope, exploratory data analysis, model development, deployment and monitoring.
Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
Other duties as assigned

Qualifications

Minimum Qualifications

Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience,
Confirmed ability to present to non technical audiences
Strong python programming skills
Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning

Preferred Qualifications

Master's degree or PhD in data science, computer science, math, engineering or related field
Strong data visualization skills
Strong SQL skills
Experience working with continuous integration and delivery (CI/CD) pipelines
Experience working with Hadoop and other distributed computing frameworks
Experience working with AWS
Experience in software development environment and code management or versioning
Experience in agriculture

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