Data Scientist

Short Description

Samsung is hiring Data Scientists who is responsible for managing the successful design, execution, and measurement of major data initiatives across all customer-facing channels. As a Data Scientist he/she should develop data analysis solutions based on descriptive analyses and predictive models.

Job Description

Responsibilities:
  • Discover and apply insights from massive data sets of structured, semi-structured, and unstructured data.
  • Collaborate with Line of Business teams and executive sponsors to develop novel, practical, and operationalized analytics that drive explicit business value at the customer level.
  • Combine strengths in data management, analysis, applied statistics, and visualization capabilities.
  • Develop data analysis solutions based on descriptive analyses and predictive models.
  • Collaborate with marketing, service, development, and engineering teams to ensure that requirements for integration, security, data quality and cross functional usage are addressed.

Skills and Qualifications:
Extensive experience solving analytic problems using quantitative approaches and a proven passion for generating actionable insights and predictions from data. Have marketing or service industry experience manipulating and analyzing complex, high-volume, high-dimensional data from varying sources. Strong knowledge of statistical methods and particularly in the areas of predictive modeling/scoring.

  • 7+ years experience in sales or marketing functions for consumer products, retail, tech, telecom, or financial industries.
  • 5+ years experience developing analytic results that directly inform and/or enable quantifiable business action, either by providing insights or building analytic applications.
  • 5+ years Statistical programming expertise: R required; Python & Spark preferred.
  • 3+ years Big data mining expertise: Hive & Impala required; SQL preferred.
  • Machine learning expertise: GLM Regression (linear, logit, multinational), kMeans/Hierarchical Clustering, Principle Component Analysis, & Decision Tree required; Neural Network, Panel Regression, Bayesian Regression, Times Series, & A Prior preferred.
  • Data scale expertise: Regular use of data with high-volume (1TB+) & high-dimensional (500+ variables per schema) required; clear understanding of Hadoop framework with hands-on experience both querying and applying statistics on massive data sets.
  • Education background: MS or PhD in Mathematics, Computer Science, Engineering, or Economics required, incremental MBA preferred.
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.

Data Scientist
Mid-Senior-level Technology | Communications | Information | Information Technology Full-time Other Hadoop | Python | Data Scientist | Java | SAS
Headquartered in San Jose, California, SSI is a wholly-owned U.S. subsidiary of Samsung Electronics Co., Ltd.- the second largest semiconductor manufacturer in the world and the industry's volume and technology leader in DRAM, NAND Flash, SSDs, mobile DRAM and graphics memory. It is one of the largest providers of system logic, imaging and LED lighting solutions, as well as providing advanced process design and manufacturing for fabless companies. Samsung Semiconductor, Inc. also has a research and innovation center with numerous labs providing product design and research in: logic, memory, image sensors, displays and mobile technologies. In addition, the company supports Samsung Display Company, the largest producer of LCD and OLED displays.
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