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Data Science Law Jobs in Texas (NOW HIRING)

Elevance Health

Data Scientist

Grand Prairie, TX · Hybrid

... by law. The Data Scientist is responsible for the selection and delivery of strategic network ... Developing and maintaining data science models, detection analytics, and behavioral algorithms for ...

JPMorgan Chase & Co

Data Scientist - Sr Associate

Plano, TX · On-site

$55K - $55K/yr

Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics ... under applicable law. We also make reasonable accommodations for applicants' and employees ...

JP Morgan Chase

Data Scientist - Sr Associate

Plano, TX · On-site

$55K - $55K/yr

Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics ... under applicable law. We also make reasonable accommodations for applicants' and employees ...

Hp

Principal AI Data Scientist

Spring, TX · On-site

$147K - $230K/yr

Responsibilities Leads organization-wide team or teams of other data science professionals in ... For more information, review HP'sEEO Policy or read about your rights as an applicant under the law ...

Kforce Technology Staffing

Data Scientist

Austin, TX · On-site

Bachelor's degree in a technical field such as Computer Science, Computer Engineering or related ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Fairygodboss

Data Scientist - Sr Associate

Plano, TX · On-site

$100 - $140/hr

Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics ... under applicable law. We also make reasonable accommodations for applicants' and employees ...

Amat

Data Scientist- Install Automation

Austin, TX · On-site +1

$78K - $108K/yr

Who We Are Applied Materials is the global leader in materials science and engineering solutions ... by law. In addition, Applied endeavors to make our careers site accessible to all users. If you ...

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Data Science Law information

What is a data science law?

A Data Science Law job involves applying data science techniques to legal processes, compliance, and regulatory issues. Professionals in this field analyze legal data, develop predictive models for case outcomes, and ensure data-driven decision-making in legal practice. They may work on topics like algorithmic bias, privacy regulations, and AI governance. This role requires expertise in both legal principles and data science methodologies.

What are the typical responsibilities of a data science law professional?

Data Science Law professionals often analyze large datasets to uncover legal risks, support litigation, or advise on regulatory compliance involving data-driven matters. Their daily tasks may include developing models to identify trends impacting legal strategy, coordinating with legal and IT teams on data governance, and interpreting relevant laws around data usage or privacy. Collaboration is key, as these professionals frequently work cross-functionally to create policies or provide guidance on emerging technologies such as AI. The role provides a unique blend of analytical and legal challenges, offering substantial opportunities for career growth in sectors like compliance, privacy, and tech law.

What are the key skills and qualifications needed to thrive in data science law?

To thrive in Data Science Law, you need a solid background in both law (J.D. or equivalent) and quantitative analysis, with experience in data analytics as it pertains to legal contexts. Familiarity with programming languages such as Python or R, legal research databases, and certifications in data privacy or compliance are highly valued. Exceptional analytical thinking, written communication, and the ability to bridge technical and legal concepts are crucial soft skills. These competencies enable professionals to interpret complex data-driven legal issues, ensure compliance, and inform policy or regulatory decision-making.

What are the most commonly searched types of Data Science Law jobs in Texas?

The most popular types of Data Science Law jobs in Texas are:

What are popular job titles related to Data Science Law jobs in Texas?

For Data Science Law jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Science Law jobs in Texas look for?

The top searched job categories for Data Science Law jobs in Texas are:

Data Science Law jobs near you
Infographic showing various Data Science Law job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX • On-site

Full-time

Re-posted 6 days ago

Patterson-UTI rating

5.0

Company rating: 5.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

83rd of 87 rated oil and gas companies

Job description


As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to reduce operational uncertainty and strengthen uptime during dynamic operations. You will help modernize maintenance and failure workflows to uncover subtle trends that traditional evaluations may miss, helping the company pursue a meaningful asset-life advantage. By moving data automatically across systems and removing reliance on manual reconciliation, you will help build a foundation for real-time maintenance management and total cost of ownership visibility. Your work will empower field teams with consolidated, purpose-built data that transforms every intervention into a precise, closed-loop maintenance event.
Key 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.

Job Requirements:
  • 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

Minimum Qualifications:
  • 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 Qualifications:
  • 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

#NexTierJob
About Us
The Evolving Oil Field Demands Evolving Service Providers
NexTier is a leading provider of integrated completions that employs sustainable practices and equipment to support our customers' ESG goals while accelerating production in the most demanding US land basins.
Patterson-UTI is committed to a workplace free from discrimination and harassment, offering equal employment opportunities to all individuals regardless of personal characteristics protected by law. Employees are encouraged to report any concerns through multiple channels.

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