Senior Data Analyst in EPAM Systems

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.ResponsibilitiesDevelop data science solutions for forecasting Accounts Receivable and/or Account Payable, with a strong emphasis on accuracy and integrityWork with SageMaker to leverage its capabilities for model developmentSolve regression and time-series-related problem statements using various advanced analytics methodologies, including Linear Regression, Machine Learning, Deep Learning, clustering, classification, segmentation, and morePerform model development and validation to improve model accuracyCleanse, filter, and refactor complex data from different sources, and analyze it to identify its potential for generating high-accuracy modelsUtilize Python for data analysis and modelingApply different machine learning algorithms to solve complex business problemsConduct statistical analyses and advanced data management using PythonCreate data visualizations to communicate insights to non-technical audiencesRequirements5+ years of experience in developing and delivering data science solutionsExperience in forecasting Account Receivable and/or Account Payable is highly beneficialStrong knowledge of regression and time-series problem-solving using advanced analytics methodologiesExpertise in Python for data analysis and modelingExperience in statistical analysis and programming with PythonAbility to create data visualizations for non-technical audiencesNice to haveExperience with data science use cases within business finance, production, supply, or commercial space is beneficialAbility to explain complex data and analysis in a concise and understandable mannerFamiliarity with corporate financial dataUnderstanding of SAP ECCsExperience 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 othersProficiency in Sage Maker is a plusWe OfferCompetitive compensation depending on experience and skillsIndividual career pathUnlimited access to LinkedIn learning solutionsSick leave and regular vacationEnglish classes with certified English teachersFlexible work hoursAbout EPAMEPAM 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 Show more Show less Position level Senior secondary level Type of employment Full-time Job responsibilities Information Technology Industries IT services and IT Consulting