About beBit

Otemachi, Tokyo

Analyzing behavior for data-driven marketing.

About the position

Machine Learning engineers build basic statistical and machine learning models, and create mechanisms to implement these models into large data sets.

In this position, you’ll:

  • Research and build analysis methods applicable to data collected by USERGRAM
  • Preprocess large data sources
  • Perform basic analysis to understand trends and features of data and its visualization
  • Choose the right data sets and data representation for analysis
  • Perform feature engineering according to the purpose of data analysis and data set
  • Build data aggregation mechanisms and machine learning models
  • Function proposal of application related to data analysis and machine learning
  • Implement the built-in data aggregation mechanism and machine learning model in the product
  • Model evaluation of data analysis and tuning to improve accuracy
  • Train and retrain the data analysis models (if needed)
  • Extend our Machine Learning library and framework
  • Stay up to date with the latest information on data science and AI

You should have:

  • Experience as a machine learning engineer or a similar role

It would be nice if you have:

  • Experience with large-scale distributed processing using Hadoop and Spark
  • Data aggregation experience using Athena or BigQuery and database design experie nce for tables and partitions
  • ETL development experience such as AWS Glue and CLOUD DATAFLOW
  • Experience with container orchestration systems using Kubernetes
  • Experience using NoSQL servers such as Cassandra and DynamoDB
  • Data processing experience using distributed messaging systems such as Apache Kafka and Amazon Kinesis

We are looking for someone who:

  • Has not only have technical skills, but can also relate to our vision for USERGRAM
  • Discovers product issues themselves and proposes improvements
  • Has an interest in the design of the whole service, including the working with other teams
  • Communicates with team members and shares knowledge about services and technologies
  • Eliminates technical debt and makes small improvements on a regular basis

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About beBit

Otemachi, Tokyo

Analyzing behavior for data-driven marketing.

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