Senior Data Scientist

Job typeBig Data/Analytics, Data Science, Game Development/Publishing
LocationUnited States - Needham, Massachusetts
TypeFull Time
Posted DateJun. 04, 2019
The Data Analytics team at WB Games Boston is a diverse group of engineers and analysts who work hard to maximize the value of our most important asset, our data. Our team thrives on collaboration, while maintaining individual accountability. Constant experimentation is core to how we learn but doing it in a highly disciplined manner is what makes us excel.

We are looking for a Senior Data Scientist to lead our efforts in extracting the maximum value from our extensive data assets. This includes enhancing our business KPI portfolio, modeling our player behavior, and extending our data product and feature catalog. The challenges you will face, will be unique and not solvable by just “googling it”. Outside of the box thinking will be paramount to your success.

Be a Strong Individual Contributor:
The data challenges at WB Games are extensive and you can expect to level up in all data domains. This includes software engineering, distributed systems, data modelling and machine learning.


What part will you play?
  • Leverage one of our greatest assets, data, to derive deep insights into our player base.
  • Work with the Data Analytics team to provide data, insights, and analysis for decision makers and stakeholders.
  • Build advanced supervised and unsupervised machine learning models - e.g. XGBoost, neural networks (auto-encoders, feedforward networks, recurrent/convolutional networks, etc.), bandit/Bayesian algorithms, time-series modeling, and more.
  • Research new machine learning solutions to complex business and player behavior problems.
  • Carry out A/B test experiments.
  • Present and visualize results in a clear and concise way to senior management for decision making.
  • Collaborate and mentor analytics staff to help level the entire team’s portfolio.
What do we require from you?
  • PhD or Masters in Computer Science, Engineering, Statistics, or related field (PhD preferred).
  • Excellent communication skills.
  • 5+ years’ experience developing and maintaining machine learning/statistic based applications in a production environment.
  • Solid foundation in data structures and algorithms.
  • Proficiency in Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn).
  • Experience training deep neural networks.
  • Experience with natural language processing.
  • Ability to write complex SQL queries.
  • Passion for gaming and familiarity with mobile games.
  • Interest in game economies, and player behaviors.
  • You have side projects or viewable public code on Github, Bitbucket, etc.

Your information will now be submitted via our parent company’s site, TimeWarner.com.