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Data Scientist II

https://www.roberthalf.com Logo

Robert Half

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Location:
United States, San Ramon

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Join a leading company in the staffing industry as a Data Scientist II, where you'll leverage generative AI and advanced analytics to drive business innovation. This role involves building AI-driven solutions, refining large language models, and developing predictive analytics to solve complex business challenges.

Job Responsibility:

  • Develop and implement predictive models using machine learning algorithms
  • Analyze large datasets to optimize key business processes
  • Collaborate with engineering teams to deploy real-time model solutions
  • Enhance AI model performance through fine-tuning and prompt engineering
  • Conduct benchmarking with human-in-the-loop feedback for iterative improvements
  • Design multi-agent workflows to solve business challenges
  • Work with IT and data engineering teams to integrate AI solutions into enterprise systems
  • Partner with stakeholders to translate data insights into actionable strategies.

Requirements:

  • Bachelor’s degree in Statistics, Computer Science, or a related field (Master’s/PhD preferred)
  • 5+ years of experience in data science, predictive modeling, and AI solutions
  • Strong expertise in machine learning, NLP, and big data technologies (Azure, Hadoop, Hive, etc.)
  • Proficiency in Python, MATLAB, Scala, or similar programming languages
  • Experience with AI frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Excellent problem-solving and communication skills
  • Azure certifications preferred.

Nice to have:

  • Azure certifications
  • experience with Azure Machine Learning, Databricks, and Microsoft data services.
What we offer:
  • Access to top jobs
  • competitive compensation and benefits
  • free online training
  • medical, vision, dental, and life and disability insurance
  • eligibility to enroll in a 401(k) plan.

Additional Information:

Job Posted:
March 21, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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