Data Scientist

Job Description

Just 13 miles south of Manchester and a 15-minute train journey, is the attractive market town of Wilmslow. Here amongst the boutique shops and independent cafes and bars is the stunning Playdemic studio. Acquired by EA in 2021, Playdemic is home to the top 10 grossing, BAFTA winning mobile smash – Golf Clash. Having opened at the beginning of 2020, our award-winning, bespoke studio space offers conventional desk space as well as indulgent breakout areas, meeting rooms and alternative workspaces. The office has been designed to create an environment that encourages and allows our team to do their very best work.

Playdemic is looking to add an experienced Senior Data Scientist to their existing Data Science team. The Data Science team is responsible for providing services to Playdemic's game teams, including Golf Clash, the number one top grossing mobile sports game in North America.

For this Senior Data Scientist role, we are looking for applied and practical AI/ML expertise with a focus on Mobile Games.

You will bring expertise in the area of AI, ML, and engineering, to create innovative and class leading data products, solutions and services, working on efforts such as life cycle management, economics, and player experience.

Responsibilities
• Work directly with our mobile game teams to understand their goals and create data science products and solutions to solve for their use cases.
• Focus on problem-driven approaches, applying pragmatic solutions to game team opportunities and decisions.
• Be accountable for the success of the project or products produced.
• Communicate data science projects and products to stakeholders.
• Ensure your methodology and experimental design produce relevant conclusions.
• Use your statistical and computational knowledge to build algorithms for calculating variances, state predictions, and find trends.

Qualifications
• Professional experience manipulating data sets, building statistical models and productising models along with experience applying Data Science methodologies to real-world problems.
• Expertise in the mobile gaming space, understanding typical business models, game development practices and technology.
• Experience building applied models, systems or projects in the following areas: recommendation systems, retention, economics/systems experiments, marketing, ML/AI engineering and deployment technology.
• Experienced in analysing extremely complex, multi-dimensional data sets.
• Familiarity with at least one scripting language. Python is preferred.
• Knowledgeable in different database/data warehouse technologies and are comfortable selecting the best option for different use cases.
• Experience using query languages and other analytic tools.

Jobcode: Reference SBJ-re9qq5-216-73-216-171-42 in your application.