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senior data scientist for an agriculture company

Data Science, Data Analysis, Data Mining, Linear programming, Machine Learning Engineering, Neural networks, Python, Regression Analysis
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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.

  • 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
          • 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


                                    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
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