Data Scientist

Samsung Open · verified Oct 24, 2026

On-site San Jose Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Samsung. San Jose · full-time · no salary stated · we estimate $156,213–$174,200.

Estimated pay

Samsung has not published a salary for this role. The figure below is our estimate, not theirs.

$156,213 – $174,200

What the middle half of mid-level data science roles in San Jose paid, among postings that did state a salary.

Worked out from 6 postings that stated pay, median $167,250. Last updated Oct 8, 2026.

RoleData Science

SeniorityMid-level

LocationSan Jose

WorkplaceOn-site

EmploymentFull-time

PostedApr 16, 2015 · 11y ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Shape business goals into concrete analyses that help guide decisions
Present your findings in language technical and non-technical audiences can follow
Use large data sets to investigate business questions and develop actionable analysis

What you bring

Bring at least one year of experience working with large data sets and ten years in professional roles
Hold a bachelor's degree in computer science, engineering or another listed field
Know the Hadoop stack and machine-learning approaches in depth, and have Python scripting experience
Understand statistical methods, sampling, and descriptive and inferential statistics
Have business experience in retail, enterprise mobility or healthcare

Who this fits

This role suits someone who can turn business objectives into analysis and explain findings to both technical and non-technical audiences. The position is on-site in San Jose.

From the employer

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

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;

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

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