Senior Data Scientist

Company Description

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 toptier 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 highload 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 cloudbased solutions.

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

Job Description

• Design and develop scalable machine learning (ML) models and datadriven solutions for realtime decisionmaking and campaign optimization

• • Translate complex business problems into analytical tasks and actionable insights

  • • Develop, deploy, and maintain productiongrade 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

            • Qualifications

              • At least 4 years of experience applying machine learning, statistical modeling, and data mining techniques to realworld business problems

              • • Strong programming skills in Python andor 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

                    • • Handson experience working with largescale 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 UpperIntermediate level of English

                              • Additional Information

                                PERSONAL PROFILE

                                • Excellent communication and interpersonal skills, with the ability to collaborate effectively with crossfunctional teams and stakeholders

                                • • Strong problemsolving and decisionmaking skills, with a focus on driving results and meeting deadlines

                                  • • Selfmotivated, adaptable, and eager to learn new technologies and frameworks