Senior Recommender Systems ML Engineer

National Black MBA Association

Plano (TX)

On-site

USD 140,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Health benefits
Wellness incentives

Job summary

Samsung Electronics America, Inc. seeks a Sr. Data Scientist/Machine Learning Engineer to design and deploy recommender systems and ML solutions that improve customer journeys across websites and apps.

The role emphasizes building scalable models, collaboration with cross-functional teams, and adherence to organizational standards and Agile processes. Regular interaction with leadership and data engineering teams is expected.

Qualifications

  • Experience in Telecom/Retail/E-commerce/CPG or consumer electronics industries.
  • Solid understanding of Hadoop ecosystem and Spark.
  • Proficient in Python/Scala/R/Java and SQL.
  • Expert in developing and debugging ML products.
  • Experience deploying models at scale in high-volume data environments.

Responsibilities

  • Follow agile development principles to develop and deploy data products and POCs with massive structured/unstructured data.
  • Ensure data products are deployed with thorough testing and high quality.
  • Communicate results clearly to team and stakeholders.
  • Interface with leadership and team members regularly to brainstorm ideas and communicate progress/risks.
  • Use JIRA and Confluence for Agile planning.

Skills

Analytical thinking
Communication
Interpersonal skills
Agile
Independent contributor

Education

MS or PhD in Mathematics/CS/Engineering/Economics

Tools

Hadoop (Hive/Impala)
Spark (PySpark/Scala)
Python
SQL
Java

Job description

Samsung Electronics America, Inc. seeks a Sr. Data Scientist/Machine Learning Engineer to design and deploy recommender systems and ML solutions that improve customer journeys across websites and apps.

The role emphasizes building scalable models, collaboration with cross-functional teams, and adherence to organizational standards and Agile processes. Regular interaction with leadership and data engineering teams is expected.

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