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Senior Data Scientist for an Agriculture Company

Remote in Colombia
Data Science
& 7 others
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Sorry, this position is no longer available

We are currently looking for a remote Senior Data Scientist to join the global team.

The customer is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources. Through world-class science and innovative crop solutions company commits to rescuing land from degradation, enhancing biodiversity, and revitalizing rural communities.

Responsibilities
  • Cleansing, filtering, and refactoring complex data from different sources
  • Further analyzing and investigating complex data to identify how they can be used to generate a model with high accuracy
  • Expertly converting complex data and analysis into concise and easy to understand presentation and insights
  • Visualizing insights from the exploratory analysis for non-technical audience
Requirements
  • Strong track record in successfully delivering Data Science solutions; min. 3+ years’ relevant experience
  • Experienced in building Regression related problem statements with various Advanced Analytics methodologies such as Linear Regression, Decision tree regressor, ANN or RNN, Machine Learning and Deep Learning
  • Solid knowledge and experience in working with Sage Maker
  • Experience in model development and in performing model validation to support the integrity and improve the accuracy of the model
  • Strong experience with Python
  • Strong skills in statistical analyses with abilities in advanced data management and statistical programming using Python
  • Strong experience in using different Machine learning algorithms
  • Experience in visualizing insights from the exploratory analysis for non-technical audience
Nice to have
  • Experience with Data Science use cases within business finance, production and supply or commercial space is beneficial
  • Experience in explaining the interpretation of model
  • Experience with corporate financial data
  • Understanding of SAP ECCs
  • Overall experience of further common Analytics technologies
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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