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Data Science Engineer

Salary undisclosed

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Job Title: Data Science Engineer (Spark, Scala)

Key Responsibilities:

  • Develop and optimize large-scale data processing systems using Apache Spark and Scala.
  • Design and implement machine learning models and data pipelines to solve business problems.
  • Collaborate with data scientists, engineers, and analysts to build scalable data solutions.
  • Perform data analysis, feature engineering, and model evaluation for predictive and prescriptive analytics.
  • Optimize performance of Spark jobs and ensure efficient use of cluster resources.
  • Maintain code quality, version control, and documentation for data science solutions.

Qualifications:

  • Strong experience in Data Science and proficiency in Apache Spark and Scala.
  • Hands-on experience with machine learning algorithms, data mining, and statistical analysis.
  • Proficiency in data manipulation, feature selection, and model development.
  • Experience with cloud platforms like AWS, Google Cloud Platform, or Azure (preferred).
  • Excellent problem-solving and communication skills.

Quadrant Technologies upholds the policy of equal employment opportunity. We commit to consider all eligible candidates for employment without discrimination on the grounds of age, lineage, nationality, hue, family or medical leave, gender identity or expression, genetic data, immigration status, marital circumstance, medical status, national origin, physical or psychological disability, political alignment, veteran or military status, race, ethnicity, faith, sex (including maternity), sexual preference, or any other attribute safeguarded by relevant local statutes, directives, and ordinances

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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