Data Scientist - Hadoop stack

Samsung SDSA; San Jose (CA); On-site; USD 80,000 - 120,000; Full time

Job summary

Samsung SDSA is looking for a data scientist in San Jose, California, to translate business objectives into actionable analyses. The ideal candidate will have extensive experience with large data sets, statistical methods, and machine learning techniques.

Responsibilities include data cleansing, exploratory analysis, and collaborating with business units to gather analytics requirements. A B.Sc. in a related field is required, with an M.Sc. preferred.

Qualifications

• At least 1 year of experience working with large data sets.
• 10 years of total professional experience required.

Responsibilities

• Searching for data sets matching data analytics requirements.
• Applying transformations to cleanse and shape data set 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

Hadoop stack knowledge

Machine learning methods

Python scripting

Understanding of statistical methods

Sampling techniques

Descriptive and inferential statistics

Business domain experience

Education

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

M.Sc. degree in related field

Job description

Job 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.

Qualifications

Responsibilities

• Searching for data sets matching data analytics requirements;
• Applying transformations to cleanse and shape data set 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

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. degree in related field is desirable.