Job Description

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success

At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact on the company and plays a vital role in contributing to the companys success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.

Job Description

We are seeking a data scientist with at least 1 year of experience working with large data sets and a total of 10 years of professional experience.

This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences.

Qualifications

Responsibilities:

• Searching for data sets matching data analytics requirements;
• Applying transformations to cleanse and shape data sets prior to analysis;
• Performing exploratory data analysis;
• Applying techniques for selecting representative data set features;
• Defining the most suitable machine learning method based on data product requirements;
• Applying statistical methods to solve domain problems;
• Developing and testing statistical models;
• Defining procedures for obtaining data, ensuring validity and accuracy;
• Collaborating with business units to elicit data analytics requirements;

Skills:

• Analytical thinking;
• Understanding of statistics fundamentals;
• In-depth knowledge of the Hadoop stack (MapReduce, HDFS, Hive, Pig);
• In-depth knowledge of machine learning methods;
• Experience with scripting languages such as Python;
• Understanding of main statistical methods;
• Understanding of sampling techniques;
• Understanding of descriptive and inferential statistics concepts;
• Business domain experience in retail, enterprise mobility, or healthcare;
• B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics, or related field is required;
• M.Sc. degree in related field is desirable.

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