About this role
The Business Data Science and AI team works with business teams across the organization to identify, assess, and solve real business problems by analyzing all available data, including enterprise, connected product, and publicly available datasets, to create and discover meaningful insights.
The Senior Data Scientist leads the design and delivery of Data Science and AI solutions across NOV’s global operations, mentors junior talent, and translates insights into measurable business outcomes.
REQUIRED QUALIFICATIONS
- Degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Mathematics, or equivalent experience.
- 3 to 5 years of data science experience, including delivering high-impact projects from problem definition through production and demonstrating business results; equivalent experience considered.
- Strong communication skills, including explaining technical work and influencing executive stakeholders.
- Advanced SQL and Python skills.
- Applied machine learning expertise in supervised and unsupervised learning, deep learning, feature engineering, statistical modeling, validation, and optimization, with evaluation against business outcomes.
- Experience deploying and supporting enterprise-scale data science or AI solutions in AWS or Azure cloud environments.
- Working knowledge of MLOps and software engineering, including version control, testing, CI/CD, experiment tracking, model versioning, deployment, and monitoring.
PREFERRED QUALIFICATIONS
- Knowledge of sales, manufacturing operations, supply chain, ERP systems, or finance is a plus.
- Experience with Databricks or Snowflake; both is a plus.
- Strong PySpark skills for distributed processing.
- Practical knowledge of agentic AI, including tool/function calling, retrieval-augmented generation, orchestration, guardrails, observability, and evaluation; ownership of at least one solution from architecture through deployment or operations.
- Master’s or PhD in quantitative discipline preferred.