Data Scientist

Apply advanced analytics, experimentation, and predictive modeling to optimize monetization across Minecraft''s three revenue pillars: Realms subscriptions, Marketplace content sales, and Creator on Demand. This role will build LTV models, analyze cross-product spending behavior, design and read out A/B tests on pricing and UX changes, and surface insights that drive revenue growth while protecting player experience. The ideal candidate has strong statistical foundations, fluency in Python and SQL on Databricks, and experience modeling user spending behavior in games or subscription products., * Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies

• Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
• Design, implement, automate and maintain large scale enterprise data ETL processes
• Modify existing databases and database management systems and/or direct programmers and analysts to make changes
• Test programs or databases, correct errors and make necessary modifications

• Bachelor''s degree in technical field such as computer science, computer engineering or related field required
• 8-10 years applicable experience required
• Experience with database technologies
• Knowledge of the ETL process
• Knowledge of at least one scripting language
• Strong written and oral communication skills
• Strong troubleshooting and problem-solving skills
• Demonstrated history of success
• Desire to be working with data and helping businesses make better data driven decisions

Must Have Skills & years of experience:

• Python/Databricks (4+ years)
• presentation and communication (5+ years)
• attribution and causal inference (4+ years)

Pay Transparency: The typical base pay for this role across the U.S. is: $88.00- $92.00/hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.

Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC's use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded.