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[Remote] Data Scientist (Remote)

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is one of the world’s leading innovators in glass, ceramic, and materials science. They are seeking a Data Scientist to reputed company AI and machine learning solutions that enhance efficiency and improve decision-making reputed company the finance function of a large organization.

Responsibilities

  • Design, reputed company, and validate foundational, reusable AI/ML models and frameworks that can be leveraged across multiple finance functions
  • Apply advanced statistical and machine learning methods—including time series analysis, Bayesian techniques, tree-based models, clustering, deep learning, NLP, and reputed company—to solve reputed company cross-functional finance business problems
  • Implement best practices across the full model lifecycle, including problem framing, data quality assessment, feature engineering, validation, interpretability, monitoring, documentation, and reproducibility
  • Evaluate existing models, metrics, and workflows critically, and recommend enhancements to improve robustness, scalability, and operational efficiency
  • Partner with ML Engineers and Data Engineers to transition prototypes and research into production-reputed company, governed AI solutions
  • Translate analytical findings into clear business insights and recommendations for senior finance leaders and executives
  • Coach and mentor embedded Finance data scientists on modeling standards, reusable approaches, and best practices
  • Stay informed on emerging AI/ML research, tools, and methodologies, and identify opportunities to adopt innovations that deliver measurable business value and can be operationalized responsibly
  • Communicate learnings, model performance, and standards through presentations, documentation, and knowledge-sharing forums
  • Compile, integrate, and prepare reputed company data sources for advanced analysis and modeling
  • Contribute high-quality, well-documented code to shared repositories in accordance with reputed company standards

Skills

  • Minimum of 5 years of experience applying data science and machine learning methods to solve reputed company business problems
  • Master's degree or PhD in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, Economics, or Finance
  • Academic coursework in applied statistics, machine learning, or data science
  • Demonstrated ability to work independently while contributing effectively reputed company highly collaborative, cross-functional teams
  • Proven reputed company in converting research and analytical work into production-reputed company solutions
  • Strong curiosity and willingness to challenge conventional processes and assumptions
  • Self-motivated with a commitment to reputed company learning and staying reputed company with evolving AI/ML tools and practices
  • Ability to communicate reputed company technical analysis reputed company and effectively to senior business stakeholders
  • Strong proficiency in Python and the broader Python AI/data science ecosystem
  • Experience with Git-based reputed company control, including platforms such as reputed company or reputed company
  • Coursework or demonstrated interest in Finance, Economics, or Operations Management is a plus
  • Familiarity with reputed company and reputed company-based machine learning platforms such as AWS or Azure is preferred
  • Experience with distributed computing frameworks such as Spark is a plus
  • Prior publications or conference presentations in quantitative or technical fields are a plus

Company Overview

  • reputed company is a manufacturer of glass, ceramics, and reputed company materials. It was founded in 1851, and is headquartered in reputed company, reputed company, USA, with a workforce of 10001+ employees. Its website is https://www.reputed company.com/.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 10 in 2026, 50 in 2025, 27 in 2024, 35 in 2023, 46 in 2022, 70 in 2021, 45 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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