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Data Science Remote Internship Jobs in Houston, TX

RAVN Aerospace

Intern (Flight Ops AI)

Houston, TX · On-site +1

$14.50 - $19/hr

... Remote Considered) Salary/Hourly Rate: hourly Schedule: Part-Time Internship | 10-20 Hours per Week ... Pursuing a degree in Data Science, Information Systems, Artificial Intelligence/Machine Learning ...

Mondo

BA

Houston, TX · Remote

$44 - $68/hr

Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month ... Bachelor's degree in Data Science, Computer Science, Information Systems, or related field * Proven ...

Workiva

Spring 2027 Intern - Data Analytics

Houston, TX · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

YO AI Labs

AI Consulting Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

Medical Writer - Remote

Houston, TX · Remote

$50 - $90/hr

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

New Math Data

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance ... science or related field from an accredited institution. * Telecommuting or remote work is ...

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Data Science Remote Internship information

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How much do data science remote internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data science remote internship in Houston, TX is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

What are the key skills and qualifications needed to thrive as a data science remote intern?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.

What is the difference between Data Science Remote Internship vs Data Analyst Remote Internship?

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What are popular job titles related to Data Science Remote Internship jobs in Houston, TX?

For Data Science Remote Internship jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Science Remote Internship jobs in Houston, TX look for?

The top searched job categories for Data Science Remote Internship jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Science Remote Internship jobs?

Cities near Houston, TX with the most Data Science Remote Internship job openings:

Data Science Remote Internship jobs near you
Infographic showing various Data Science Remote Internship job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $44,701 per year, or $21.5 per hour.

Remote - Senior Analyst, Workforce Analytics

i4 Search Group Healthcare

Houston, TX • On-site, Remote

$90K - $110K/yr

Full-time

Posted 4 days ago

Key responsibilities

  • Partner with HR, Finance, Technology, and business leaders to diagnose workforce challenges and translate business questions into data solutions.

  • Lead workforce analyses using statistical models and forecasting methodologies to assess HR metrics and predict workforce trends.

  • Manage workforce reporting solutions from scoping and requirement gathering to data validation, dashboard creation, and executive presentation.

Job description

Job Summary

The Senior Analyst, Workforce Analytics provides key reporting tools, quantitative analysis, and actionable workforce insights that empower leadership to make data-driven talent decisions and drive business performance. Partnering closely with HR, Finance, Technology, and executive leaders, this role builds scalable reporting frameworks, analyzes workforce trends, and applies statistical and data visualization techniques to solve complex talent and operational challenges.

This is a hands-on, deeply consultative role designed for an analytical professional who thrives in data and enjoys tackling unstructured business problems. Rather than simply generating reports or building dashboards, the Senior Analyst acts as a strategic partner—asking the right questions, discovering root causes, navigating ambiguous data landscapes, and translating complex metrics into clear, compelling narratives that help leaders understand what is happening, why it matters, and what actions to consider.

Key Responsibilities & Principal Accountabilities

  • Strategic Stakeholder Consultation: Partner with HR, Finance, Technology, and business leaders to diagnose workforce challenges, scope requirements, and translate business questions into actionable data solutions.
  • Advanced People Analytics & Modeling: Lead complex workforce analyses using statistical models and forecasting methodologies to assess key HR metrics, predict workforce trends, and support long-term talent strategy.
  • End-to-End Solution Ownership: Manage workforce reporting solutions end-to-end—from initial scoping and requirement gathering to data validation, dashboard build, and executive presentation.
  • Data Storytelling & Executive Communication: Transform raw data and analytical findings into clear, structured, and visually engaging narratives that drive executive decision-making.
  • Data Governance & Integrity: Lead data quality assurance efforts, conduct rigorous validation checks, and maintain high standards of precision across all people analytics platforms.
  • System & Workflow Optimization: Identify opportunities to enhance HR data architecture, reporting capabilities, and analytics tools in collaboration with Technology and HRIS teams.
  • Mentorship & Continuous Improvement: Serve as a mentor and technical resource to junior analysts, keeping abreast of emerging industry trends, data science methodologies, and best practices in workforce analytics.

Position Qualifications

Education

  • Bachelor’s Degree: Required in a quantitative, technical, or business-focused field (Data Analytics, Data Science, Mathematics, Statistics, Economics, Business Administration, or a related discipline).

Required Experience & Technical Skills

  • General Data Analytics: 5+ years of progressive experience in data analysis, business intelligence, or a related quantitative role.
  • Workforce / People Analytics: Strong experience analyzing workforce/HR data; deep familiarity with HR, payroll, and HCM data structures is required.
  • HCM Reporting & Dashboards: two years of hands-on experience designing and building HCM reports and executive dashboards (Oracle HCM, Workday, or SAP SuccessFactors experience strongly preferred).
  • Technical Tool Stack:
  • Advanced Excel: Expertise in complex formulas, modeling, and data manipulation.
  • SQL: Proficiency in querying, joining, and aggregating large datasets.
  • Data Visualization: Hands-on dashboard development experience using Power BI or Tableau.
  • Statistical Methods: Demonstrated ability to apply statistical modeling, forecasting, and trend analysis techniques to business problems.

Key Competencies & Core Attributes

  • Consultative Problem-Solving: Ability to work independently in ambiguous environments, systematically investigate issues, and drive undefined projects through to resolution.
  • Data Storytelling: Exceptional communication skills with a proven track record of translating complex technical analyses into concise, executive-level insights.
  • Collaborative Leadership: Strong interpersonal skills with an ability to build trust and partner across cross-functional departments (HR, Finance, Tech, Operations).

Work Location & Remote Eligibility

  • Employment Type: Full-Time
  • Work Model: Hybrid / Remote options available (candidates must reside within approved regional states/geographic locations:


  • Georgia
  • Louisiana
  • Oklahoma
  • Tennessee
  • Texas