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