Senior Data Scientist – Personalisation

This is a fully remote position, open to applicants in Poland.

📋 Description

• Collaborate with our Product and Business Teams to comprehend their requirements, convert them into data science solutions, and deliver actionable insights.

• Design and execute data science solutions (ML models, GenAI products, hybrid methods, data analytics) to enhance marketing and product strategies, improve user experience, and optimize targeting.

• Work closely with cross-functional teams (e.g., other Data&AI groups, Technology teams) to guarantee smooth integration of data-driven initiatives.

• Remain at the forefront by exploring innovative techniques and staying updated on emerging trends in Data Science & AI.

• Present insights and recommendations to management, business teams, and members of the data community.

• Oversee end-to-end data products: assess business needs (skills: business understanding, communication), analyze challenges and propose solutions (data analytics), develop a resolution (skills: practical ML/AI), share insights and outcomes (skills: communication, simplifying technical concepts for non-technical audiences, ppt/BI), and maintain the solution (skills: fundamental BI skills, model monitoring).

⛳️ Requirements

• Bachelor’s or Master’s degree in a relevant discipline, such as Data Science, Computer Science, Mathematics, or Econometrics.

• A minimum of 3 years of professional experience as a Data Scientist.

• Experience in consulting and marketing analytics is advantageous.

• Proficient in both Polish and English (knowledge of additional languages is a plus).

• Strong understanding of ML solutions and their effect on business and user experience (including clustering, recommender systems, regression, classification, etc.).

• Practical experience working with large datasets.

• Proficiency in Python 3, along with ML and data analysis libraries (e.g., Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TF/Pytorch, etc.).

• Experience in writing well-organized code: functions, classes, modules.

• Knowledge and experience with PySpark, relational databases, and cloud solutions (e.g., Databricks, Azure, GCP, AWS, Snowflake).

• Familiarity with leveraging CI/CD pipelines in data-driven products (preferable).

• Experience with data pipeline frameworks, ideally Kedro (preferable).

• Proficiency with CLI tools: bash/zsh (preferable).

🏝️ Benefits

• Your contributions will have a direct impact on strategic decisions and operational efficiencies across various international markets.

• Join a team that is breaking new ground in data analytics, utilizing the latest technologies and methodologies.

• This position provides exceptional opportunities for professional growth in a data-centric, technology-driven environment.

• Collaborate with cross-functional teams, exchange knowledge, and best practices, promoting a culture of continuous learning and improvement.