Senior Data Scientist - Games Analytics & Growth

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

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.