backgo to search

senior data scientist for an agriculture company

bullets
Data ScienceData Analysis, Data Mining, Linear programming, Machine Learning Engineering, Neural networks, Python, Regression Analysis
bullets
Colombia
warning.png
Sorry, the job is expired

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 for locations

                                    location.svg

                                    For you

                                    • Prepaid Medicine with Colsanitas for you and your legal dependents 
                                    • MetLife Life Insurance for you 
                                    • Thousands of projects for top brands
                                    • Stable income

                                    For your comfortable work

                                    • 100% remote work forever
                                    • Free licensed software
                                    • Possibility to work on your own device (BYOD)
                                    • Stable workload
                                    • Relocation opportunities
                                    • Flexible engagement models

                                    For your growth

                                    • Free trainings for technical and soft skills
                                    • Free access to LinkedIn Learning platform
                                    • Support from a personal Skill Advisor
                                    • Language courses
                                    • Free access to internal and external e-Libraries
                                    • Access to internal communities and competency centers
                                    • Certification opportunities
                                    subscribe to EPAM Anywhere vacancies!Hundreds of open jobs for Software Engineers, QA, DevOps, Business Analysts and other tech professionals
                                    Girl in front of laptop

                                    looking for something else?

                                    Find a vacancy that works for you. Send us your CV to receive a personalized offer.