Lead Data Scientist - Mobile Technology

Description & Requirements

Creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

A leading global interactive entertainment software company. Delivers games, content and online services for Internet-connected consoles, personal computers, mobile phones and tablets. The Data & Analytics (DnA) team is accelerating our game developer's need for advanced data knowledge and toolsets.

We are hiring a Lead Data Scientist - Mobile to join the LCM Insights team, reporting to a Sr Manager. The Data Science team partners with all of our game studios to offer data science products and solutions. For this Lead 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 best practices for our mobile gaming titles and lead efforts related to life cycle management, economics, and player experience across all of our mobile titles.

Responsibilities

• Work directly with mobile game teams/partners (internal clients) to understand their offerings/domain 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.
• Develop plans to generalize products across titles with our engineering partners.
• Review mobile projects, providing guidance and being accountable for the success of the project or products produced.
• Communicate data science projects and products to partners.
• Ensure your methodology and experimental design and how experiments can produce relevant conclusions.
• Engage with other Data Scientists, sharing best practices and help consult on cross-projects.
• Design, improve and work with our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Apache Kafka, Ruby & Hive.
• Use your statistical and computational knowledge to build algorithms for calculating variances, state predictions, and find trends.

Required Qualifications

• Masters degree in Statistics, Mathematics, Computer Science or another quantitative field encouraged.
• 6+ years of professional experience manipulating data sets, building statistical models and productizing 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: retention, economics/systems experiments, ad segmentation, ML/AI engineering and deployment technology.
• Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
• Familiarity with at least one scripting language: Python is used, but R/Scala possible.
• History of mentoring junior team members.
• Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners (Snowflake, Redshift, or Spark).
• Experience using query languages and other analytic tools.
• Experience with version control systems like GitHub / GitLab and developing Git branching approaches.
• Interest in games a big plus.

This is a hybrid remote/in-office role.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

An equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. Also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.