We are looking for an experienced Data Scientist to join our organization.

In this role, you will help shape marketing analytics strategies and support data-driven initiatives. You’ll collaborate with a talented team and have the chance to influence key business decisions.

Responsibilities

• Oversee the development and rollout of data science projects focused on marketing topics like predicting customer churn, segmenting audiences, and modeling customer lifetime value
• Cleanse, restructure, and examine large volumes of data from multiple platforms to support modeling and campaign analysis
• Build, test, and refine machine learning algorithms using Python or R, and partner with engineering to deploy models into live environments
• Create experimental designs and measurement plans to assess marketing campaign results and model performance
• Present complex data findings and technical details in a way that is actionable for marketing teams
• Help enhance AI and machine learning capabilities within the marketing analytics group
• Keep thorough records of modeling processes, assumptions, and performance indicators

Requirements

• Bachelor’s or Master’s degree in a relevant field such as Computer Science, Data Science, or Artificial Intelligence
• Minimum of 2 years’ experience in a data science or analytics position
• Strong command of Python or R for statistical analysis and machine learning
• Solid grasp of supervised learning approaches, including classification, regression, feature creation, and model assessment
• Skilled in writing advanced SQL queries to handle and process large datasets
• Practical experience with experimental methods like A/B testing and uplift analysis
• Strong communication abilities to explain technical concepts to non-technical audiences
• Able to work independently in a fast-paced setting and juggle multiple assignments
• Proficient in English, both written and spoken, at B2+ level or higher

Nice to have

• Experience with marketing analytics, paid media performance, or modeling user behavior
• Knowledge of AI technologies such as large language models, recommendation engines, or generative AI
• Familiarity with cloud computing platforms like AWS, GCP, or Azure, and version control tools such as Git
• Previous involvement in the gaming, media, or entertainment industries

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn