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
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

We offer/Benefits

With us you can:

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)
Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

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)

What we offer:

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

Data Science & 2 others