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Manager Nvidia Data Scientist Jobs in Spring, TX

You will be part of a dynamic team of data scientists, analysts, and product managers dedicated to creating innovative solutions for enterprise-level clients. The team thrives on collaboration ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Manages relationships with business partners to evaluate and foster data driven innovation ...

Knowledge of Life Sciences/regulated industries (FDA, EMA, ISO, GxP) and compliance management systems * Familiarity with big data tools (Spark, Databricks, Snowflake), orchestration (Airflow ...

Financial Crime Risk Management * AML/BSA Compliance * Fraud Analytics * Machine Learning & AI ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

Sr Data Scientist

Houston, TX · On-site

$130K - $145K/yr

... managers, and other teams to turn data into critical information to inform decision making. This ... Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations ...

Data Scientist - Process Modeling What you will do Let's do this. Let's change the world. In this ... Change management to integrate tech transfer digital applications into product teams * Development ...

Communicates clearly with product managers, engineers, and operational teams. * Takes ownership of ... Data Science & Statistical Analysis * Enterprise Problem Solving * Experimentation & Model ...

Lead Data Scientist Location: Houston, TX Job Type: Permanent Full Time Job Mode: 100% Onsite ... Exhibits strong project management skills, with an ability to work independently on multiple ...

Showing results 21-40

Manager Nvidia Data Scientist information

See Spring, TX salary details

$40.9K

$146.8K

$216.7K

How much do manager nvidia data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for manager nvidia data scientist in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

What is the difference between Manager Nvidia Data Scientist vs Data Scientist?

AspectManager Nvidia Data ScientistData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; often requires leadership experienceBachelor's/Master's in CS, Statistics, or related; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, develops models, reports findings
Employer & IndustryTech companies, AI/ML firms, hardware manufacturers like NvidiaVarious industries including tech, finance, healthcare, research

The main difference is that a Manager Nvidia Data Scientist oversees data science teams and projects, requiring leadership skills, while a Data Scientist focuses on technical data analysis and modeling. The manager role involves strategic planning and team management, whereas the data scientist role emphasizes technical expertise and data analysis.

What are the most commonly searched types of Nvidia Data Scientist jobs in Spring, TX?

The most popular types of Nvidia Data Scientist jobs in Spring, TX are:

What are popular job titles related to Manager Nvidia Data Scientist jobs in Spring, TX?

For Manager Nvidia Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Manager Nvidia Data Scientist jobs in Spring, TX look for?

The top searched job categories for Manager Nvidia Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Manager Nvidia Data Scientist jobs?

Cities near Spring, TX with the most Manager Nvidia Data Scientist job openings:

Infographic showing various Manager Nvidia Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $146,848 per year, or $70.6 per hour.

Data Scientist / Wireline

Houston, TX • On-site

Weatherford International
Clean Energy Services • 10K+ employees

Full-time

Re-posted 20 days ago


Weatherford rating

7.3

Company rating: 7.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description


Job Summary
We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation.
The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment.
Roles and Responsibilities
  • Design and develop data pipelines for cleaning, validation, and analysis of large datasets
  • Analyze structured and unstructured data to identify trends, patterns, and anomalies
  • Develop and deploy machine learning models and statistical algorithms
  • Automate data workflows and analysis using modern programming tools
  • Modeling & Technical Contributions
  • Build predictive and physics-informed models to support tool development and characterization
  • Work with simulation outputs and experimental data to improve system understanding
  • Develop custom tools and frameworks for advanced analytics
  • Collaboration & Delivery
  • Partner with engineers, physicists, and product teams to translate business needs into analytical solutions
  • Communicate insights and results effectively to technical and non-technical stakeholders
  • Support project planning, technical documentation, and knowledge sharing

Skills / Education
  • Bachelor's degree in applied mathematics, Data Science or Physics
  • 5+ years' experience Data Science
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities
  • Proficiency in managing and interpreting large datasets
  • Experience with machine learning techniques
  • Experience with statistical and data mining techniques
  • Experience using C, C++, Java, JavaScript, Python, R, SQL
  • Expertise in areas such as formation evaluation, production logging and well integrity.
  • 5+ years' experience in the Oil and Gas industry
  • Knowledge of tool physics and tool characterization
  • Ph.D. in applied mathematics, Data Science or Physics
  • Excellent problem-solving, analytical, and decision-making skills, with the ability to think critically and develop innovative solutions.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
  • Knowledge of industry standards, regulations, and best practices related to health, safety, and environmental compliance.
  • Self-starter, Curious, ability to research independently and integrate knowledge from various sources into working solutions.
  • Active participation in technical societies, forums and open-source communities is a plus.
  • Published technical papers, presented in industry conferences.

About us:
Weatherford is a leading global energy services company. Our world-class experts partner with customers to optimize their resources and realize the full potential of their assets. Across our operating locations, including manufacturing, research and development, service, and training facilities, operators choose us for strategic solutions that add efficiency, flexibility, and responsibility to any energy operation.
When you join Weatherford, you instantly feel connected to something bigger - a community that is grounded by our core values and driven to create innovative solutions for our customers. We celebrate each other's successes, grow together, and learn from each other constantly. Individually, we are impressive. Together, we are unstoppable. We are One Weatherford.
Weatherford is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
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