Data Scientist (New Grad)

We’re looking for fresh graduates who are passionate about using data to solve challenging problems. 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 fresh graduate with a passion for gaming, join our team to help our games thrive in an exciting global industry!

Learn more about how we work in Data Science here!

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
• Develop and maintain our player segmentation tool
• Build predictive models using machine learning algorithms
• Work with our tech stack: (dbt (Python, SQL), Snowflake, Looker, Hex, Streamlit, Airflow)

Desired skills and experiences

• Familiarity with 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
• Attention to detail, natural curiosity and ability for creative problem-solving
• Strong written and oral communication skills

Areas in which you'll continue to grow

• Proficiency in extracting, processing and modeling huge amounts of data
• Working with one of the richest and largest datasets of the technology industry
• Proficiency in data analytics, data science and visualization tools
• Ability to initiate, support and improve product & marketing decisions thanks to the evolving role of data in a fully data-driven environment