Senior Data Analyst

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.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI#LI-NV2

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

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children

EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.