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Data Science Engineer, Systems - MZ Game Studio

MZ Game Studio


Location:
Palo Alto, California
Date:
10/11/2017
2017-10-112017-12-10
Categories:
  • Data Analytics
  • Data Scientist
  • Data Engineer
  • Statistician
MZ Game Studio
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Job Details

MZ Game Studio is on the forefront of applied data science and engineering. With massive scale global systems feeding our teams large streams of real-time data, we are looking for a sharp Data Science Engineer to turn true big data into actionable insights. As a Data Science Engineer you’ll play a crucial role in building out a revolutionary next generation real-time analytics system. You’ll work closely with the R&D team to turn theoretical and strategic goals into technical products that push the boundaries of analytics, machine learning and live operations.

 

What You'll Be Doing

  • Design and develop high-performance, data-driven systems in a distributed infrastructure
  • Research and develop algorithms to analyze high velocity streaming data
  • Design and evaluate experiments to monitor key product metrics, understand root causes of changes in performance
  • Build user behavior models to guide product roadmaps
  • Design experiments to answer targeted questions
  • Understand ecosystems, user behaviors, and long-term trends
  • Translate strategic requirements into usable tools and infrastructure
  • Identify and promote best practices across the organization
  • Implement large scale data management and transformation systems

Requirements

Your Background And Who You Are

  • You love building new products and can take an idea from inception, to development and production
  • You have a deep research interest in developing novel statistical modeling and machine learning algorithms
  • You’re a team player and an effective communicator
  • Familiarity/experience with machine learning models, statistical modeling and validation
  • Understanding of modern machine learning techniques (i.e. classification, clustering)
  • Advanced degree in Computer Science (with a Data Mining/Machine Learning emphasis) or equivalent experience
  • Applied experience with distributed machine learning and computing framework (e.g. Spark)
  • 3+ years experience with Python, R, Java or Scala
  • Experience productionalizing machine learning models
  • Experience with Python, R, Java, Scala, Shell scripting, Spark, Kafka, Storm, Hadoop, Hive, Presto, MySQL, Redis, Cassandra, Elasticsearch
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