Senior Data Scientist

• 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 

• 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