Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,757 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
Houston, TX, United States
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listedSimilar roles state $118K–$194K
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead design and delivery of data science and AI solutions
Mentor junior data science talent
Translate data insights into measurable business outcomes
Analyze enterprise, connected product, and public datasets to solve business problems
From the employer’s posting
leads the design and delivery of Data Science and AI solutions across NOV’s global operations
mentors junior talent
translates insights into measurable business outcomes
analyzing all available data, including enterprise, connected product, and publicly available datasets
What you’ll bring
All qualificationsCore experience
- 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.
- Experience deploying and supporting enterprise-scale data science or AI solutions in AWS or Azure cloud environments.
Preferred experience
- Knowledge of sales, manufacturing operations, supply chain, ERP systems, or finance is a plus.
- Experience with Databricks or Snowflake; both is a plus.
- 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.
Qualification wording
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.
Experience deploying and supporting enterprise-scale data science or AI solutions in AWS or Azure cloud environments.
Knowledge of sales, manufacturing operations, supply chain, ERP systems, or finance is a plus.
Experience with Databricks or Snowflake; both is a plus.
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.
Education & alternatives
- 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.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 7 and day 57.
At NOV, jobs usually come down by about day 56.
From 10,595 similar postings that came down, and 13 of NOV’s. Coming down is not always a hire.
NOV is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- Snowflake
- PySpark
Where the posting names them
- 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.
- 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.
- 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.
- 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.
Your next step
Complete your application on egay.fa.us6.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About NOV
- People
- About 11,339 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as NOV.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
As a Senior Data Scientist, you will:
Partner with business leaders to identify high-value opportunities, understand workflows, define requirements, and select analytical approaches across functions such as sales, manufacturing, supply chain, and finance.
Collaborate with domain experts, business analysts, data engineers, software engineers, and integration teams.
Lead cross-business-unit and global data science initiatives, defining project scope, timelines, and deliverables with business leaders.
Develop and validate machine learning models, from data preparation and feature engineering through algorithm selection and optimization.
Deploy and maintain production-ready models and AI applications, including evaluation, monitoring, alerting, versioning, and retraining.
Design and evaluate agentic AI solutions, including tool-using workflows and retrieval-augmented generation when appropriate.
Establish reusable analytical and engineering practices for scalable, reliable solutions.
Apply data governance, privacy, and security standards.
Mentor interns, junior data scientists and analysts.
Communicate findings and actionable recommendations through clear visualizations to technical, business, and executive audiences.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Houston, TX, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.