Game Data Scientist

Dublin, Dublin, Ireland

Applications have closed

2K

2K publishes titles in today's most popular gaming genres, including shooters, action, role-playing, strategy, sports, casual, and family entertainment.

View company page

Who We Are

Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, and HB Studios. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of our growing library of critically-acclaimed franchises such as NBA 2K, Battleborn, BioShock, Borderlands, The Darkness, Mafia, Sid Meier’s Civilization, WWE 2K, and XCOM.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We are dedicated to diversity and inclusion, and want our community of candidates to reflect this commitment. We encourage all qualified applicants to explore our global positions.

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).

What We Need

We are looking for skilled and hardworking Data Scientists to work in our growing central Game Science team.  You are passionate about console/PC games and will be responsible for crunching data, building models, and extracting insights.  Model outputs are used in a production environment to power live-ops (in-game monetization) and marketing (in-game, in-console, and direct). Insights are used by leadership to own the business and improve the product.  Our games are played by millions every day, and in-game monetization is part of the Analytics group, so our team has a very rich dataset to play with, and a direct path to implementing our outputs.

What You Will Do

  • Analyse player gameplay and economy telemetry data to understand player behaviour and suggest actions to improve the player experience.
  • Build in-game measurement and experimentation methodologies.
  • Work closely with the Game Applied AI team to understand deeply the performance of production Matchmaking, Promotions and Communications, Antifraud / toxicity, and Content Recommendations models.
  • Test acquisition, engagement, marketing, communication and monetization strategies to improve performance.
  • Collaborate with the development teams to provide insights into game quality, difficulty, and fun!
  • Establish and distribute regular performance reports based on detailed telemetry and sophisticated models (other teams do basic business reporting / Business Intelligence).
  • Present analysis findings in writing and via presentation (including for remote groups).

What Skills Are Needed

The ideal candidate will be able to see the underlying story in the data, build sophisticated or simple models depending on the situation, and develop a compelling communication to executives. We’re looking for a solution oriented and creative problem solver; a self-starter with the passion and enthusiasm to get results for meaningful change is essential for this role.

  • MSc or PhD in Mathematics, Statistics, Economics, Computer Science, Data Science, Engineering, Sciences (or in another quantitative subject area).
  • 2+ years of experience data mining & analytics, building models with large, sophisticated and multi-dimensional data sets.
  • Experience with predictive modelling techniques and accomplished in use of R or Python machine learning and related modules.
  • Experience in relational databases, SQL data carpentry. Experience with big data technologies such as Spark or NoSQL DBs a plus.  We use Snowflake for our data warehouse.
  • Video games experience and/or gaming familiarity is very helpful, an ability to partner optimally with partner teams and companies (development studios) is required.
  • Demonstrated communication, facilitation, and collaboration skills to successfully present, explain, influence, and advise within cross-functional teams.
  • Demonstrated ability to work independently, rapidly prototyping and testing new insights with little supervision. Solve problems, meet deadlines, and build whatever is vital along the way.
  • Experience understanding the strengths and weaknesses of different modelling approaches and can effectively reason about when to apply different combinations and iterate.
  • Technically not a "skill", but, you are comfortable with working hours 10am-6:30pm enabling greater connection with our US HQ.

 

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Business Intelligence Computer Science Data Mining Economics Engineering Machine Learning Mathematics NoSQL PhD Prototyping Python R RDBMS Snowflake Spark SQL Statistics Testing

Perks/benefits: Career development

Region: Europe
Country: Ireland
Job stats:  9  2  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.