Senior Data Scientist

Summary

Join GetInData | Part of Xebia, a leading data company, and become a Data Scientist contributing to innovative projects for international clients. You will play a key role in the entire process, from defining business problems to implementing and monitoring machine learning models and advanced analytics solutions. This position requires proficiency in Python and SQL, a strong background in mathematics/statistics, and experience with attribution modeling. You will collaborate with marketing teams and data engineers, develop dashboards and reports, and provide recommendations for budget optimization. GetInData offers a competitive salary, 100% remote work, flexible hours, and opportunities for professional development.

Requirements

• Proficiency in Python and SQL
• Understanding of business intelligence tools (Looker, Tableau, Power BI)
• Strong background in mathematics/statistics
• Experience with attribution modeling
• Ability to work with large datasets and extract meaningful insights

Responsibilities

• Designing and implementing a new attribution model (potentially using Markov Chains or Machine Learning)
• Work closely with marketing teams to understand spend allocation challenges
• Develop dashboards and reports to visualize the impact of marketing channels
• Provide recommendations for budget optimization based on data insights
• Ensure the accuracy and reliability of collected data
• Collaborating with data engineers to integrate the new model into existing systems
• Sharing knowledge on data literacy
• Keeping current with the latest trends and best practices in analytics engineering

Preferred Qualifications

• Experience with Markov Chains or advanced probabilistic modeling
• Familiarity with Google Ads, Facebook Ads, as well as previous experience in marketing analytics

Benefits

• Salary: 150 - 180 PLN net + VAT/h B2B (depending on knowledge and experience)
• 100% remote work
• Flexible working hours
• Possibility to work from the office located in the heart of Warsaw
• Opportunity to learn and develop with the best Big Data experts
• International projects
• Possibility of conducting workshops and training
• Co-financing sport card
• Co-financing health care
• All equipment needed for work