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Contract Private Equity Data Science Jobs in Spring, TX

Leidos

Spaceflight Data Scientist (NASA HHPC)

Houston, TX · On-site

$107K - $195K/yr

On the Human Health and Performance Contract we are at the forefront of safeguarding astronaut ... This is a rare opportunity to apply high-level decision science to challenges at the frontier of ...

Hp

Principal AI Data Scientist

Spring, TX

$147K - $230K/yr

Responsibilities Leads organization-wide team or teams of other data science professionals in ... or equity (applies to US candidates only). Pay varies by work location, job-related knowledge ...

H-GAC

Data Analyst

Houston, TX · On-site

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models ... Collect, clean, and validate demographic, economic, and geographic data from public and private ...

Ketjen

Data Analytics and AI Leader

Houston, TX · On-site

Bachelor's degree in data science, computer science, engineering, or a related field. * Substantial ... Experience in a private equity owned or sponsor-backed company. * Familiarity with responsible AI ...

Ketjen

Data Analytics and AI Leader

Houston, TX · On-site

Bachelor's degree in data science, computer science, engineering, or a related field. * Substantial ... Experience in a private equity owned or sponsor-backed company. * Familiarity with responsible AI ...

UNAVAILABLE

Associate - Corporate - M&A

Houston, TX · On-site

Private Equity Latham advises the world's leading private equity firms through the full spectrum of ... We periodically provide demographic data to legal publications, bar associations, civic and ...

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All JobsContract Private Equity Data Science JobsContract Private Equity Data Science Jobs in Spring, TX

Contract Private Equity Data Science information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do contract private equity data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contract private equity data science in Spring, TX is $109,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,000.00 per year, depending on experience, location, and employer.

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Contract Private Equity Data Science jobs near you
Infographic showing various Contract Private Equity Data Science job openings in Spring, TX as of June 2026, with employment types broken down into 72% Full Time, 17% Part Time, 7% Temporary, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX • On-site

Full-time

Re-posted 23 days ago

Patterson-UTI rating

5.0

Company rating: 5.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

82nd of 87 rated oil and gas companies

Job description

Job Summary:
Patterson-UTI is a leading provider of integrated completions that employs sustainable practices and equipment to support their customers’ ESG goals. As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to enhance operational efficiency and reduce downtime through advanced data management and analytics.
Responsibilities:
• Support the development of predictive models and automated tracking tools to help maintenance teams shift from reactive to proactive workflows.
• Assist in the integration of equipment telemetry and various data streams into modeling frameworks to improve lifecycle management.
• Help build and test internal AI-driven tools and trend models to streamline technical troubleshooting and root cause analysis.
• Contribute to the development of cost-visibility models to track equipment spend and total cost of ownership at different fleet levels.
• Assist in the rationalization and optimization of equipment alarm systems to improve alert quality and reduce operational noise.
• Monitor the impact of system alerts to help transition toward actionable, condition-based maintenance strategies.
• Support data integrity efforts by helping to link information across disparate internal systems and work order platforms.
• Collaborate on the design of user-friendly interfaces and digital aids that provide field personnel with accurate equipment history and procedures.
Qualifications:
Required:
• Prior experience in equipment reliability, predictive maintenance or physics-based modeling in oil and gas
• Expert programming skills in Python (SciPy, NumPy) for simulation and model development
• Strong foundation in reliability engineering methods such as root cause analysis (RCA), alarm management KPIs, and failure mode modeling.
• Strong communication skills with the ability to explain complex models to non-technical stakeholders
• Ability to manage multiple priorities and deliver results on time
• Bachelor’s degree in Mechanical Engineering, Petroleum Engineering, Data Science or related field
• 0-5 years of experience applying data science modeling or reliability engineering in industrial settings
• 2+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)
• A basic understanding of maintenance workflows, work orders, and asset hierarchies is required.
Preferred:
• Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred.
• Master’s degree or higher in a quantitative engineering or physical science discipline
• Research publications or patents in equipment reliability, preventative maintenance or related areas
Company:
Patterson-UTI is a leading provider of drilling and completion services to oil and natural gas exploration and production companies in the United States and other select countries, including contract drilling services, integrated well completion services and directional drilling services in the United States, and specialized bit solutions in the United States, Middle East and many other regions around the world. Founded in 1978, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

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