Data Scientist

Purpose of the Team

This is a data science organization. They provide reporting and insights on Minecraft.

This role will contribute to reporting and analytics for consumer products and “beyond the game” initiatives (ex. licensed merchandise like toys, toothpaste, cereal, etc), while also supporting ad hoc requests across the team. 70% consumer product, 30% ad hoc tasks.

• Disqualifiers:
  Candidates with inconsistent or potentially inaccurate information on their resumes (ex, mismatched job duties or misrepresented employment status) will not be eligible for the role. Please ensure your candidates have the skill set listed on the resume!!! This sponsor has experienced interviews where candidates enhanced their skills on the resume and would like to avoid that this time around!
• Best vs. Average:
  The ideal resume would contain experience supporting multiple stakeholders or projects, demonstrating flexibility and the ability to handle varied priorities, rather than a narrow focus on building a single tool or working on a single project. Team is open to those with more experience only if they are aligned with the bill rate.

• Expected Dates that Hard Skills Assessments will be scheduled: asap
• Hard Skills Assessment Process:
  The assessment process will include one round with the sponsor, a potential second round with the sponsor/FTE
• Required Candidate Preparation: NA

We are seeking a Data Scientist who is passionate about delivering high-impact, high-quality results to join the Mojang Player Data and Insights team. In this role, you will drive insights that inform the Mojang strategy, with a focus on Consumer Products, Out of Game Experiences and Partnerships. You’ll collaborate closely with the stakeholder teams to enhance consumer products reporting, analyze out of game experiences, evaluate opportunities, and recommend data‑drive strategies to level up the connection between all parts of the franchise.

This role is additional coverage for a team member on maternity leave, and you will be taking over additional duties beyond this specific scope as needed. These include maintaining forecasting models, assisting in franchise reporting and estimation, and collaborating with other data science vendors in the Beyond the Game space. Specific responsibilities include making recommendations to optimize business performance and evaluating the impact of various programs and initiatives on critical metrics, including tying out of game activities to in‑game metrics.

The ideal candidate will have experience with statistical analysis, data visualization tools, and strong communication skills to translate insights into actionable recommendations for both technical and non‑technical stakeholders.

• Partner with Consumer Products team and PADI data engineering to turn our Consumer Products data into clear reporting and actionable insights.
• Identify key learnings from your analysis and synthesize them into recommendations for stakeholders.
• Work collaboratively with other PADI data scientists to incorporate Beyond the Game findings into relevant major analyses and franchise beats.
• Conduct data analysis as requested for stakeholder groups across Partnerships, Marketing and Consumer Products, including understanding ROI of out-of-game initiatives and optimizing for in‑game metrics.
• Be self-driven and show ability to deliver on ambiguous projects with incomplete or dirty data.
• Maintain dashboards in Power
  
  BI that enable stakeholders to understand the business and supporting onboarding to other self‑service tools.
• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.

• 5 years of experience in data analytics.
• 5 years of experience with SQL, bonus if familiar with Spark
  
  SQL, Databricks, or Azure Data Explorer.
• 2 years of experience with dashboarding tools, Power
  
  BI preferred.

• 5 years of experience in data analytics.
• 5 years of experience with SQL, bonus if familiar with Spark
  
  SQL, Databricks, or Azure Data Explorer.
• 2 years of experience with dashboarding tools, Power
  
  BI preferred.
• Proficient in Python, bonus if familiar with PySpark.
• Able to work in a collaborative, diverse and fast-paced team.
• Excellent analytical, and problem‑solving skills and autonomy when faced with solving data problems.
• Excellent verbal, visual and written communication skills.
• Interest in games, bonus if experience in gaming industry.
• Local to Seattle area.