Overview

Required skills

Python / expert PySpark / strong SQL / strong ML / strong English / strong

We are looking for a Data Scientist to join one of our teams and help us develop great products for our clients.

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.

Requirements

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

Responsibilities

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