Data Mining and Machine Learning Engineer
株式会社フリークアウト・ホールディングス
- Python
- AWS
- Machine Learning
- Linux
- Data Analysis
- GitHub
- JAVA
- MySQL
- R
- Go
- natural language processing
- Ruby
- Slack
- C/C++
- CircleCI
- Spark
- Hadoop
- Statistical Analysis
- EC2
- Elasticsearch
- S3
- Scala
- Data Mining
- Perl
- SageMaker
- Hive
- Memcached
- Fluentd
- Kibana
- EMR
- Puppet
- Presto
- VPC
- Vagrant
- KVM
- Route 53
- Computer Science
- Re:dash
- Direct Connect
- Ukigumo
- TokyoCabinet
- predictive algorithm
- Advertising Technology
- Prediction Model
- Algorithm Design and Implementation
- Advertising Recommendation Algorithm
- Web Business
- Search Systems
- E-commerce Systems
-
Tokyo
-
101 to 1,000
Company Info
Freakout is a company that utilizes data mining and machine learning to improve the effectiveness of advertising distribution. We conduct in-depth analysis of large-scale data and implement optimization of advertising technology. We also require experience in the analysis of large-scale data and practical experience in optimizing advertising technology.Job Summary
For data mining and machine learning engineers, we are responsible for predicting the optimization of advertising technology and implementing the development of advertising recommendation algorithms. Experience in the analysis of large-scale data and practical experience in a Linux environment are required. Experience in the development of Hadoop software and practical experience in advertising technology development are welcome.Duties
Utilize knowledge of computer science to improve the effectiveness of advertising distribution, predict the optimization of advertising technology (click-through rate, conversion rate, impression rate, etc.), and implement the development of advertising recommendation algorithms. Specifically, conduct research and reference document surveys, create new prediction models, designs, and implement improvements to advertising recommendations, and implement improvements to advertising recommendation systems. In addition, analysis and practical experience in large-scale data from a medium-scale to large-scale data analysis and practical experience in a Linux environment are required.Login to see all information about offers.
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