NOV

Senior Data Scientist

NOV

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudERPPySparkPythonSQL

About the role

  • Partner with business leaders to identify high-value opportunities, formulate requirements and rationalize analytical approaches to solve them
  • Develop a firm understanding of specific business processes and real-world workflows, which may include manufacturing, supply chain, accounting and other related functions
  • Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
  • Lead data science initiatives that impact operations across multiple business units and global regions
  • Define project scope, timelines and deliverables in collaboration with business leaders
  • Architect scalable machine learning and AI solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
  • Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
  • Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
  • Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
  • Manage and mentor interns, junior data scientists and analysts
  • Present clear, compelling visualizations and executive summaries tailored to non-technical audiences
  • Translate advanced analytics results into strategic recommendations for VP and C-level leadership
  • Utilize programming languages such as SQL, Python for data manipulation, analysis and model development
  • Act as a strategic leader in the design, development, and deployment of advanced Data Science and Analytic solutions across NOV’s global operations, driving measurable business impact

Requirements

  • Master’s degree in a quantitative discipline
  • Five or more years of professional data science experience, with a track record of leading high-impact projects
  • Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
  • Advanced proficiency in Python, SQL and PySpark
  • Deep expertise in machine learning, deep learning, optimization, and statistical modeling
  • Familiarity with emerging trends such as generative AI and responsible AI
  • Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
  • Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
  • Knowledge of Streamlit for building interactive data applications preferred
  • Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
  • Demonstrated ability to drive business impact and ROI through analytics
  • Strong track record of executive-level communication and influence
  • Experience leading cross-functional teams across multiple geographies
  • Strong understanding of manufacturing operations, supply chain optimization and ERP systems