Fullstack Data Scientist to a startup within mobile games

Konfidentiell Stockholm

Company

Role

About the role

Our client is a Mobile Games studio in Stockholm, and is looking for an experienced Data Scientist who likes to tinker with data engineering and analytics.  

Responsibilities:

  • Develop and Manage Databases: Design and maintain databases and data warehouses, ensuring efficient storage, retrieval, and data integrity.
  • Performance Optimization: Optimize database performance through indexing, query optimization, and regular maintenance.
  • Data Cleaning and Preprocessing: Clean and preprocess raw data to ensure quality and suitability for analysis, effectively handling missing data, outliers, and other data quality issues.
  • Model Performance Monitoring: Continuously monitor model performance, making necessary adjustments to maintain accuracy and relevance over time.
  • Data Visualization: Create compelling data visualizations and dashboards to present data insights clearly and effectively.
  • Communication of Complex Data: Use visualization tools to facilitate the understanding and communication of complex data.
  • Data Analysis: Analyze large datasets to extract actionable insights, identifying trends, patterns, and correlations that inform strategic decisions.

About You 

We believe you have a background in data engineering and analytics within the gaming industry and have a passion for mobile games.

Requirements:

  • SQL Proficiency: Expert in SQL for querying and managing relational databases.
  • Google BigQuery Expertise: Experienced in using Google BigQuery for data warehousing, including understanding its SQL dialect and optimization techniques.
  • Scalable Database Solutions: Knowledgeable in creating distributed and scalable database solutions.
  • ETL Pipelines: Experienced in developing and managing ETL pipelines for data ingestion, processing, and transformation.
  • Statistical Analysis and Data Mining: Skilled in statistical analysis and data mining techniques to uncover insights from large datasets.
  • Dashboard Development: Proficient in building dashboards and supporting self-sufficient data models.
  • Cross-Functional Collaboration: Experience working in cross-functional teams, providing data insights to support product improvements.

Their office is located in central Stockholm, and they all work on-site. They are looking for someone who wants to do the same.

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