Data Science Manager

Position Summary

1. Explore areas to apply machine learning technology, develop measures on collecting data used for model learning and evaluation and collect data.
2. Develop data pre-processing and feature extraction algorithms and modeling/pattern recognition algorithm by reflecting data characteristics.
3. Perform to optimize data analysis software, develop performance evaluation measures and evaluate.

Role and Responsibilities

1. [Finding areas to apply machine learning technology] Analyze data collected while using software in actual situation, measuring/inspecting process and etc. and execute to apply machine learning technology.

2. [Collecting and managing training data] Supervise to develop measures on collecting and managing effective data used for training machine learning algorithm.

3. [Developing data pre-processing algorithm] Reflect the features of collected data well and design pre-processing algorithm that eases unnecessary complexity.

4. [Developing modeling and pattern recognition algorithm] Design suitable machine learning model or algorithm in accordance with the purpose of application that users want.

5. [Developing performance evaluation measures] Execute performance evaluation strategy to evaluate and maintain the effectiveness of developed application.

6. [Securing and managing large-scale computing resources] Supervise to manage computing server to use algorithm that requires massive computing resources such as deep learning and massive data.

Skills and Qualifications

• Has a wide range of experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways

• Works on complex issues where analyzing situations or data requires an in-depth evaluation of variables. Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results. Determines methods and procedures on new assignments and coordinates other's tasks

• May manage a group such as coordinating activities regarding costs, methods and staffing

• Typically requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years

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