Data Scientist

Posted One Month Ago
San Jose, CA, USA
In-Office
Expert/Leader
Hardware • Mobile • Wearables
The Role
Translate business objectives into actionable data analysis, analyze large datasets, apply statistical and machine learning methods, and clearly communicate findings to technical and non-technical audiences. The role requires Hadoop ecosystem expertise, Python scripting, strong statistical knowledge, sampling and analytical skills, and business domain experience in retail, enterprise mobility, or healthcare.
Summary Generated by Built In
Company Description

We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences

Job Description

Required

• Analytical thinking;

• Understanding of statistics fundamentals;

• In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig);

• In-depth knowledge on 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 one of the following areas: retail, enterprise mobility, healthcare;

Qualifications

• B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required

• M.Sc. / Ph.D degree in related field is desirable.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • At least 1 year of experience working with large data sets
  • 10 years of total professional experience
  • Analytical thinking
  • Understanding of statistics fundamentals
  • In-depth knowledge of the Hadoop stack, including MapReduce, HDFS, Hive, and Pig
  • In-depth knowledge of machine learning methods
  • Experience with scripting languages such as Python
  • Understanding of major statistical methods
  • Understanding of sampling techniques
  • Understanding of descriptive and inferential statistics
  • Business domain experience in retail, enterprise mobility, or healthcare
  • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
  • M.Sc. or Ph.D. degree in a related field

Samsung Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Samsung and has not been reviewed or approved by Samsung.

  • Healthcare Strength — Health insurance, dental, vision, and wellness programs are highlighted as strong components of the package, with some locations offering additional onsite or subsidized wellbeing resources. Feedback suggests these benefits meaningfully bolster the overall value of compensation for many roles.
  • Retirement Support — A 401(k) plan with company match is commonly referenced as part of the total rewards, contributing to longer‑term financial security. Employees often point to retirement options as a reliable pillar of the compensation structure.
  • Strong & Reliable Incentives — Annual or quarterly bonuses and profit‑sharing are described as regular complements to base pay for corporate, engineering, and sales roles. These incentives are considered a notable part of total compensation where applicable.

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The Company
HQ: Hanyang
259,149 Employees
Year Founded: 1969

What We Do

Samsung Electronics is a global technology company developing consumer electronics, mobile devices, and next-generation device solutions. Its mission is to explore technologies that help people worldwide lead happier, healthier lives. The company operates across consumer electronics, IT and mobile communications, and device solutions, offering products including Galaxy smartphones, tablets, watches, rings, televisions, computers, and audio equipment for customers around the world.

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