Ahmedabad, Gujarat, India
Information Technology
Full-Time
Cargill
Overview
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
Minimum Qualifications
Protect yourself against recruitment fraud. Cargill will not ask for money, processing fees, or bank information as a pre-condition of employment. We are aware that unauthorized individuals may have posed as Cargill
recruiters, made contact about job opportunities, and extended job offers via text message, instant message or chat rooms. To ensure a job posting is legitimate, it must be listed on the Cargill.com/Careers website.Learn how to protect yourself from recruitment fraud
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
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
- 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
Protect yourself against recruitment fraud. Cargill will not ask for money, processing fees, or bank information as a pre-condition of employment. We are aware that unauthorized individuals may have posed as Cargill
recruiters, made contact about job opportunities, and extended job offers via text message, instant message or chat rooms. To ensure a job posting is legitimate, it must be listed on the Cargill.com/Careers website.Learn how to protect yourself from recruitment fraud
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