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Remote Data Scientist Internship Jobs in Texas (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Kemper

Data Scientist

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Jobsultant Solutions

Remote Data Analyst

Dallas, TX · Remote

Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ... Data science experience * Retail experience * SQL Coding, Microsoft Access, Macro building ...

Toyota

Data Scientist

Plano, TX · On-site +1

  • Medical

  • Retirement

  • PTO

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Experience working in Data Science outside of a degree-seeking academic program. What we'll bring ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Booz Allen Hamilton, Inc.

Data Scientist, Senior

San Antonio, TX · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246115 Location: San Antonio,TX,US Share job via: Share Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of unlocking the ...

2U

Data Scientist II

Crystal City, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

CSAA

  • Retirement

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Jill Frisch

Remote Data Analyst

Dallas, TX · On-site +1

$50K - $63K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Finance, Computer Science or a ... Remote

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Remote Data Scientist Internship information

What is a remote data scientist internship?

A Remote Data Scientist Internship is a temporary, project-based position where interns work remotely to analyze data, build models, and derive insights using machine learning and statistical techniques. Interns collaborate with teams virtually, using tools like Python, R, and SQL to process and visualize data. These internships help students and professionals gain real-world experience in data science while improving their technical and analytical skills.

What types of projects or tasks can I expect to work on during a remote data scientist internship?

As a Remote Data Scientist Intern, you may work on tasks like cleaning and analyzing datasets, building predictive models, visualizing data trends, and assisting with data-driven decision-making processes. You will likely collaborate with other data scientists and team members through virtual meetings, shared code repositories, and project management tools. Your daily responsibilities might include writing scripts to automate data analysis, preparing presentations, and contributing to ongoing research or product development initiatives. These experiences are designed to help you develop practical, industry-relevant skills and gain exposure to real-world data science challenges.

What are the key skills and qualifications needed to thrive in a remote data scientist internship, and why are they important?

To thrive as a Remote Data Scientist Intern, you need a solid understanding of statistics, machine learning, and programming, often demonstrated through coursework or related projects in fields like data science, computer science, or engineering. Hands-on experience with tools such as Python or R, data visualization libraries, SQL databases, and platforms like Jupyter Notebook is highly valued, along with familiarity with cloud-based collaboration tools. Strong analytical thinking, initiative, clear communication, and the ability to work independently in a virtual environment are standout soft skills. These capabilities enable interns to effectively analyze complex data, share insights, and contribute meaningfully to team projects despite the remote setting.

What are the most commonly searched types of Remote Data Scientist jobs in Texas?

The most popular types of Remote Data Scientist jobs in Texas are:

What are popular job titles related to Remote Data Scientist Internship jobs in Texas?

For Remote Data Scientist Internship jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Internship jobs in Texas look for?

The top searched job categories for Remote Data Scientist Internship jobs in Texas are:

What cities in Texas are hiring for Remote Data Scientist Internship jobs?

Cities in Texas with the most Remote Data Scientist Internship job openings:

Remote Data Scientist Internship jobs near you
Infographic showing various Remote Data Scientist Internship job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 16 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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