Data Scientist

10 Months ago • All levels • Data Analysis

Job Summary

Job Description

Data Scientist needed to analyze game data, build predictive models, and collaborate with teams to improve game performance.
Must have:
  • SQL and Python
  • Data analysis
  • Machine learning
  • Cloud data warehouse
Good to have:
  • A/B testing
  • Player segmentation
  • Data visualization
  • Mobile casual games
Perks:
  • Passion for gaming
  • Data-driven environment

Job Details

We are looking for a Data Scientist who is passionate about using data to solve challenging problems. As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to drive strategic decisions and develop innovative solutions. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders.

If you are a motivated and data-driven individual with a passion for gaming, join our team to help our games thrive in an exciting global industry!

Here's what you’ll do

    • Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights
    • Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines
    • Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps
    • Work closely with product teams to model, simulate, and help fine-tune the game’s internal economy
    • Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing teams to make data-informed decisions: dashboards, reports, ad-hoc analysis and insightful observations
    • Collaborate with different teams to drive, implement and analyze A/B testing results
    • Develop and maintain our player segmentation tool
    • Build predictive models using machine learning algorithms
    • Stay up-to-date with industry trends, best practices, and new tools and techniques in data analysis & data science
    • Work with our tech stack:
    • - dbt (Python, SQL)
    • - Snowflake
    • - Looker, Hex, Streamlit
    • - Airflow

Desired skills and experiences

    • University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments
    • Strong knowledge of SQL and Python; excited to learn new languages when needed
    • Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus
    • Passion for mobile casual games
    • Excellent attention to detail, natural curiosity and ability for creative problem-solving
    • Strong written and oral communication skills
    • Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment
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