Senior Data Scientist, B2B

at  Sanoma Media

SENIOR DATA SCIENTIST FOR THE B2B UNIT

Sanoma Media Finland is the biggest commercial media company in Finland. We are looking for a Senior Data Scientist to join our team of eperienced data scientists and to work closely with our B2B domain eperts.
In the B2B unit, we build the net generation of digital advertising products to reach audiences across Sanoma’s media product portfolio. With brands such as Helsingin Sanomat, Ilta-Sanomat, Ruutu, various radio stations, TV channels and lifestyle magazines, our products reach most Finns every day. You will be part of a team to build the future of our advertising offering towards selling campaign outcomes and optimizing everything in between.
We require good command of the English language as the data science team is composed of eperts from different backgrounds. Being able to communicate in Finnish is seen as advantage, but is not strictly necessary.
We offer you the opportunities to develop as a professional in the field and to shape the future of business to business sales in digital journalism. We continuously develop our operations and work to enhance the employee eperience and culture at Sanoma. We have a goal-oriented, professional, and informal culture, which we support with coaching leadership. Our operations are guided by leadership promises: I trust the professional, I make room for joy, I encourage people to dare, and I meet people as people.

TECHNICAL REQUIREMENTS

Epertise in Python and proficiency in SQL. E

• perience in Databricks would be a plus.E
• perience with statistical modeling, machine learning, and related tools/frameworks.
• Familiarity with parallel and distributed computing (e.g., Apache Spark).

Apply your data science e

• pertise to drive business results and mentor team members.
• Translate business objectives into actionable data science problems.
• Ensure model reliability and reproducibility, collaborating with engineering teams.
• Identify and drive new data-driven product innovations.
• Work day-to-day within a multi-disciplinary team and communicate insights effectively.
• Work with fellow data scientists to create and manage machine learning models.Support business with analytical e
• pertise.Work with large, comple
• data sets and solve non-routine analysis problems.