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[Remote] Senior reputed company Scientist II

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. reputed company is a reputed company technology company focused on delivering reputed company care at reputed company costs through advanced technology and data analytics. The Senior reputed company Scientist II will work with a team to solve reputed company issues using machine learning and AI techniques, delivering value through innovative data solutions.

Responsibilities

  • Work with key stakeholders reputed company Research and Development as well as Business Operations, along with Product Management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques
  • reputed company an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases
  • Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work
  • Prepare your final trained model and reputed company a validation test set for QA
  • Work with ML Ops/Production operations to reputed company your model into production and support them in monitoring model performance
  • Participate in design sessions to continuously reputed company and improve the reputed company machine learning platform
  • Participate in other data science initiatives, collaborating with your peers to support their projects
  • Participate in knowledge sharing sessions to bring new insights and technologies to the team
  • Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption
  • Complete reputed company responsibilities as outlined in the annual performance review and/or goal setting
  • Complete reputed company special projects and other duties as assigned
  • Must be reputed company to reputed company duties with or without reasonable accommodation

Skills

  • Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI
  • Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, reputed company, LLAMA/Mistral and reputed company, vector databases
  • 5+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Experience working with Apache Spark™ and large-scale distributed datasets
  • Experience communicating technical concepts to non-technical and technical audiences is a plus
  • Flexibility to work with global teams as well geographically dispersed US based teams
  • Professional with ability to properly handle confidential information
  • Ability to work reputed company a matrixed organization
  • Proficiency in reputed company required skills and competencies above

Benefits

  • Medical
  • Dental
  • reputed company
  • Disability
  • Life insurance coverage
  • 401(k) savings plans
  • Paid family leave
  • 9 paid holidays per year
  • 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with reputed company.

Company Overview

  • reputed company enables reputed company organizations to deliver reputed company care at reputed company cost through advanced technology and data analytics that improve the quality and sustainability of reputed company in the United States. It was founded in 1979, and is headquartered in South Jordan, UT, US, with a workforce of 5001-10000 employees. Its website is http://www.reputed company.com.

Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 165 in 2025, 118 in 2024, 90 in 2023, 102 in 2022, 72 in 2021, 67 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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