Senior Data Scientist — Bayesian Analytics (Warsaw, Hybrid)

WPP; Warszawa; Ibrido; PLN 200.000 - 320.000; Tempo pieno

Descrizione del lavoro

WPP in Warsaw, Poland, is seeking an exceptional Senior Data Scientist to join our highly skilled team. You will develop state-of-the-art Bayesian models to estimate audience sizes and characteristics, and implement production-quality Python code.

You'll collaborate with a multidisciplinary group, write robust tests, manage data pipelines in the cloud, and contribute to reusable code and documentation in a fast-paced hybrid environment.

Competenze

• Postgraduate-level knowledge in probability and statistics, with Bayesian methods.
• Advanced Python programming including packaging, testing and data handling.
• Experience with cloud platforms such as AWS, GCP or Azure.
• Ability to work independently on complex mathematical problems.
• Strong communication and collaboration skills.

Mansioni

• Develop and implement Bayesian models to estimate audience sizes.
• Collaborate with multidisciplinary team to design data-driven solutions.
• Write production-ready Python code with packaging, tests, and docs.
• Work independently to solve complex mathematical problems.
• Engage in abstract discussions to reach robust solutions.
• Contribute to code repositories using Git and perform code reviews.
• Utilize cloud computing resources for scalable processing.
• Handle diverse data formats while preserving data integrity.
• Adapt quickly to changing project priorities.

Conoscenze

Bayesian statistics

Advanced Python programming

Analytical problem solving

Independent work

Communication and collaboration

Formazione

Postgraduate degree in statistics or a related field

Strumenti

Python

Git

AWS/GCP/Azure

Descrizione del lavoro

WPP in Warsaw, Poland, is seeking an exceptional Senior Data Scientist to join our highly skilled team. You will develop state-of-the-art Bayesian models to estimate audience sizes and characteristics, and implement production-quality Python code.

You'll collaborate with a multidisciplinary group, write robust tests, manage data pipelines in the cloud, and contribute to reusable code and documentation in a fast-paced hybrid environment.