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Our client is one of the world’s leading agriculture companies.

Their mission is to contribute to the secure feeding of the world while prioritizing environmental responsibility. Their objective is to enhance the sustainability, quality, and safety of agriculture through cutting-edge scientific expertise and inventive crop solutions. The technologies our client employs empower millions of farmers worldwide to optimize the utilization of scarce agricultural resources.

Responsibilities

• Develop data science solutions for forecasting Accounts Receivable and/or Account Payable, with a strong emphasis on accuracy and integrity
• Work with SageMaker to leverage its capabilities for model development
• Solve regression and time-series-related problem statements using various advanced analytics methodologies, including Linear Regression, Machine Learning, Deep Learning, clustering, classification, segmentation, and more
• Perform model development and validation to improve model accuracy
• Cleanse, filter, and refactor complex data from different sources, and analyze it to identify its potential for generating high-accuracy models
• Utilize Python for data analysis and modeling
• Apply different machine learning algorithms to solve complex business problems
• Conduct statistical analyses and advanced data management using Python
• Create data visualizations to communicate insights to non-technical audiences

Requirements

• 5+ years of experience in developing and delivering data science solutions
• Experience in forecasting Account Receivable and/or Account Payable is highly beneficial
• Strong knowledge of regression and time-series problem-solving using advanced analytics methodologies
• Expertise in Python for data analysis and modeling
• Experience in statistical analysis and programming with Python
• Ability to create data visualizations for non-technical audiences

Nice to have

• Experience with data science use cases within business finance, production, supply, or commercial space is beneficial
• Ability to explain complex data and analysis in a concise and understandable manner
• Familiarity with corporate financial data
• Understanding of SAP ECCs
• Experience with common analytics technologies such as SAP Analytics Cloud, Qlik, Tableau, Sage Maker, Azure ML, Data Bricks, KNIME, Alteryx, SAP BW, Redshift, S3, SQL, and others
• Proficiency in Sage Maker is a plus

We Offer

• Competitive compensation depending on experience and skills
• Individual career path
• Unlimited access to LinkedIn learning solutions
• Sick leave and regular vacation
• English classes with certified English teachers
• Flexible work hours

About EPAM

• EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential. EPAM is committed to providing our global team of 54,600+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence