JOB INFORMATION
求人情報

求人番号 78461-003

消費財・高級財業界

外資系 流通・商社・運輸

Applied Scientist

  • 年収
    非公開
  • 勤務地
    東京都
  • 英語力
    上級

外資系流通企業の「Applied Scientist」の案件です。

職務内容
DESCRIPTION
Do you apply Machine Learning to big data problems? Are you excited by analyzing and modeling terabytes of data that solve real world problems? We love data and have lots of it. We’re looking for an outstanding scientist capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. As part of International Technology organization, you'll partner closely with other technical teams to build and deliver cutting-edge engineering solutions to customers across the world.
If you are results driven, know how to apply advanced Machine Learning techniques, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.
MAJOR RESPONSIBILITIES
- Use statistical and machine learning techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
- Design, experiment and evaluate highly innovative models for predictive learning
- Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
- Work closely with business staff to optimize various business operations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Track general business activity and provide clear, compelling management reporting on a regular basis
- Research and implement novel machine learning, statistical and econometrics approaches
応募条件
BASIC QUALIFICATIONS
- A Master in CS (Machine Learning, AI, Statistics or equivalent)
- 3+ years of practical experience in applying machine learning to solve real world problems
- Solid background in statistical learning techniques
- Strong algorithm implementation experience as well as the ability to modify standard algorithms (e.g. changing objectives, working-out the math, implementing and scaling)
- Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
- Experience in implementing models that handle terabytes of data
- Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
- Ability to develop prototypes by manipulating and analyzing complex, high-volume, high-dimensional data from varying sources
- Proven record of delivering results
- Strong communication and data presentation skills
- Strong problem solving ability
PREFERRED QUALIFICATIONS
- A PhD in CS Machine Learning or Statistics.
- Expertise on a broad set of ML approaches and techniques, including language modeling, information retrieval, deep learning, collaborative filtering, sequence modeling and causal modeling
- Proven track record of production achievements in natural language processing, search and personalization
- Experience in distributed and parallel computing
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