Senior Data Scientist

Sharkmob AB; Malmö kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Sharkmob AB in Malmö is seeking a Senior Data Scientist to turn player behaviour data into decisions that improve player experience and commercial success.

You will analyze player behavior, design experiments, build predictive models, and create visualizations using Google Cloud Platform with BigQuery, Pub/Sub, Apache Beam, and Python or R. Clear communication of insights to colleagues is essential.

Qualifications

• 5+ years hands-on experience developing custom data models and algorithms to address business challenges using SQL, Python, or R.
• Experience with production data pipelines and ETL frameworks and automation (e.g., Airflow, Beam).
• University degree within Data Science or similar field.
• Strong analytical skills and curiosity for understanding complex systems and player behaviour.
• Great communication skills to convey insights to non-technical teammates.
• Self-motivated with proactive mindset to drive projects to success.

Responsibilities

• Translate complex data into actionable insights to help teams make better decisions.
• Plan and lead data science projects from idea to production.
• Design and analyse experiments to evaluate gameplay and business initiatives.
• Build, deploy and maintain machine learning models where appropriate.
• Create dashboards and visualizations that communicate insights clearly.
• Champion data science and evidence-based decision making across the studio.
• Collaborate with design & research to drive decisions across the game.

Skills

SQL

Python

R

Data Modeling

ETL

Airflow

Education

University degree in Data Science or related field

Tools

BigQuery

Pub/Sub

Apache Beam

Python

R

Job description

Help shape the future of our games by turning player behaviour data into decisions that improve player experience and commercial success.

As a Senior Data Scientist, you will help us make sense of our raw game and business data. Together, we want to improve our games and influence business and product decisions by making the most out of our data.

You will analyze player behavior, design experiments, build predictive models, create visualizations, and work with production data pipelines. Our data platform is built on Google Cloud Platform, and we primarily work with BigQuery, Pub/Sub, Apache Beam, and Python or R.

For this role, you must understand and communicate key insights and questions clearly to colleagues outside the team. You have professional experience applying data science to real-world products and a background in computer science, physics, mathematics or a similar field.

The role

Help shape the future of our games by turning player behaviour data into decisions that improve player experience and commercial success.

As a Senior Data Scientist, you will help us make sense of our raw game and business data. Together, we want to improve our games and influence business and product decisions by making the most out of our data.

You will analyze player behavior, design experiments, build predictive models, create visualizations, and work with production data pipelines. Our data platform is built on Google Cloud Platform, and we primarily work with BigQuery, Pub/Sub, Apache Beam, and Python or R.

For this role, you must understand and communicate key insights and questions clearly to colleagues outside the team. You have professional experience applying data science to real-world products and a background in computer science, physics, mathematics or a similar field.

Responsibilities

• Help teams make better decisions by translating complex data into actionable insights.
• Plan and lead data science projects from idea to production.
• Design and analyse experiments to evaluate gameplay and business initiatives.
• Build, deploy and maintain machine learning models where appropriate.
• Create dashboards and visualizations that communicate insights clearly.
• Champion data science and evidence-based decision making across the studio.
• Closely collaborate with design & research to drive decisions across the game

Requirements

• min. 5 years of hands‑on experience with developing custom data models and algorithms to address business challenges using SQL, Python, or R.
• Experience working with production data pipelines and ETL frameworks and automation (e.g., Airflow, Beam).
• University degree within Data Science or similar field
• Strong analytical skills and a curiosity for understanding complex systems and player behaviour.
• Great communication skills. Ability to clearly formulate and articulate the problem at hand in a simple, actionable way (especially to colleagues without a data science background).
• Self‑motivated and proactive with critical thinking and the resourcefulness to drive projects to success.
• The ability to work independently as well as in a collaborative environment.

Extra points

Previous experience in games industry.

Who we are

Sharkmob is a Swedish game developer founded in 2017. We create AAA-quality games for PC and console, using the Unreal Engine to power our ambitions of taking multiplayer games to new heights. We are currently developing Exoborne, our first original IP. In 2022, we released Bloodhunt, a battle royale set in the Vampire: The Masquerade universe.

At Sharkmob, we believe great games are created by diverse teams with different perspectives, backgrounds, and experiences. We are committed to building an inclusive and collaborative workplace where creativity can thrive. Our culture is built around shared ownership, a passion for creating great games, and, just as importantly, having fun along the way.

We’d love for you to join us on our journey and become part of our crew. To learn more about Sharkmob, our projects, and the perks of being a crew member, visit our homepage.