Data Scientist to improve experimentation analysis platform, focusing on QA and statistical methodologies.
•As a Data Scientist in our Experimentation team, you will help deliver and improve Tripledot’s company-wide experimentation analysis platform.
•Working closely with Data Engineering, you will define the statistical logic and methodologies behind platform features, build prototypes in Python, and ensure the platform produces accurate, reliable results for product teams across our games portfolio.
•Key Responsibilities Define statistical logic, calculation methods, and detailed requirements for experimentation platform features.
•Prototype statistical methodologies and analyses in Python before implementation.
•Partner closely with Data Engineers as they develop and improve the experimentation platform.
•Perform thorough data and feature QA by independently calculating results and comparing them with platform outputs.
•Investigate discrepancies, identify root causes, and help ensure metrics and analyses are accurate and reliable.
•Requirements 3-5 years of professional experience as a Data Scientist or in a closely related role Strong Python skills, including the ability to prototype analyses and write clear, reliable scripts.
•Solid knowledge of statistics and standard statistical methodologies.
•Practical understanding of experimentation and A/B testing, including how metrics and results should be calculated and validated.
•Familiarity with machine learning methods and the ability to apply relevant approaches when needed.
25 days paid holiday, Hybrid Working, 20 days remote working, Daily Free Lunch, Regular company events and rewards, Employee Assistance Program, Family Forming Support, Life Assurance & Group Income Cover, Continuous Professional Development, Private Medical Cover & Health Cash Plan, Dental Cover, Cycle to Work Scheme, Pension Plan