Join a globally recognized company where innovation meets impact. With a team of seasoned professionals and a culture built on excellence, we deliver top-tier AdTech solutions that shape industries and drive meaningful results. Become part of a Competence Center where your expertise will be valued, your voice will be heard, and your career will be empowered.

Customer

Our client is an international technology company that specializes in developing high-load platforms for data processing and analytics. The company operates globally, serving clients primarily in the Marketing and Advertising domain. It focuses on modern technologies, microservices architecture, and cloud-based solutions.

Project

The client’s primary product assists businesses in managing large volumes of data, building models, and gaining actionable insights.

Responsibilities

Design and develop scalable machine learning (ML) models and data-driven solutions for real-time decision-making and campaign optimization
Translate complex business problems into analytical tasks and actionable insights
Develop, deploy, and maintain production-grade ML pipelines in a cloud environment
Apply advanced statistical techniques to improve targeting, bidding, and performance measurement
Drive experimentation and research to continuously enhance modeling approaches
Collaborate with the Engineering, Product, and Analytics teams to integrate models into production systems
Stay updated on industry trends and contribute to innovation and thought leadership

Requirements

At least 4 years of experience applying machine learning, statistical modeling, and data mining techniques to real-world business problems
Strong programming skills in Python and/or R
Solid understanding of machine learning algorithms, their applications, and statistical principles
Experience building and productionizing data pipelines and ML models in cloud environments, preferably AWS
Hands-on experience working with large-scale data using PySpark or SparkR
Proficient in SQL and experienced with Excel for data analysis and reporting
Ability to measure the business impact of ML models using proper evaluation frameworks
Familiarity with version control systems and agile development practices
At least Upper-Intermediate level of English

Personal profile

Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
Strong problem-solving and decision-making skills, with a focus on driving results and meeting deadlines
Self-motivated, adaptable, and eager to learn new technologies and frameworks