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Remote Data Science Apprenticeship Jobs in Texas

Data Scientist

Plano, TX ยท On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... This role is ideal for someone who will thrive working at the intersection of computational science ...

Sr/Staff Data Scientist (Remote - US)

TX ยท On-site +1

$165K - $300K/yr

REMOTE Anticipated Start Date: 07/01/2026 The US base salary range for this full-time position is ... Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ...

Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

Sr Data Scientist GenAI

Dallas, TX ยท On-site +1

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Data Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

Data Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

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Remote Data Science Apprenticeship information

What is a remote data science apprenticeship?

A Remote Data Science Apprenticeship is a structured training program that allows individuals to gain practical experience in data science while working from a remote location. These apprenticeships typically combine mentorship, hands-on projects, and coursework to help participants develop essential skills like data analysis, machine learning, and programming. Apprentices work with real-world datasets and collaborate with experienced data scientists, often as part of a distributed team. The remote format offers flexibility and accessibility, making it easier for people from various backgrounds to enter the data science field.

What are some common challenges faced during a remote data science apprenticeship, and how can they be overcome?

Remote data science apprenticeships often present challenges such as limited face-to-face mentorship, managing time across different projects, and staying motivated without in-person team dynamics. To overcome these, it's important to proactively communicate with your mentors and peers, make use of collaborative tools like Slack or Zoom, and set clear, achievable goals each week. Establishing a structured daily routine and regularly participating in virtual team meetings can also help maintain accountability and foster a sense of connection with the team.

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

AspectRemote Data Science ApprenticeshipRemote Data Analyst
Required CredentialsTypically entry-level, often requiring a background in math, statistics, or computer science; may include certifications or coursesUsually requires a degree in data-related fields; certifications like Excel, SQL, or Tableau are common
Work EnvironmentTraining-focused, often with mentorship; may involve project-based learningOperational, analyzing data to support business decisions; may involve reporting and visualization
Employer & Industry UsageUsed by companies to train future data scientists; common in tech, finance, healthcareUsed across industries for data-driven decision making; common in marketing, finance, retail

The Remote Data Science Apprenticeship is a training program designed to develop skills in data science, often with mentorship, while a Remote Data Analyst focuses on analyzing and interpreting data to inform business strategies. Both roles require familiarity with data tools, but apprenticeships emphasize learning and growth, whereas analyst roles focus on applying existing skills.

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

To thrive as a Remote Data Science Apprentice, you need a solid understanding of statistics, programming (commonly Python or R), and a relevant educational background such as coursework or a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization platforms, as well as version control systems such as Git, is typically required. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for remote collaboration and continuous learning. These skills and qualities are crucial for effectively analyzing data, contributing to team projects, and adapting to the dynamic, independent nature of remote work environments.

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

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

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

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

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

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

What cities in Texas are hiring for Remote Data Science Apprenticeship jobs?

Cities in Texas with the most Remote Data Science Apprenticeship job openings:

Infographic showing various Remote Data Science Apprenticeship job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX โ€ข On-site, Remote

Full-time

Re-posted 27 days ago


Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.
Job responsibilities
  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform
  • Performs diagnostics and root-cause analysis and provide fixes
  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow
Course work/experience:
  • Data manipulation
    • SQL
    • Operating on big datasets in Python
    • Data visualization
  • Mathematical optimization
    • Linear optimization concepts
    • Nonlinear continuous optimization
    • Linear algebra
  • Mathematical modeling
    • Using parametrized systems of equations to represent real-world systems
  • Statistics
    • Multivariate regression
    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters
    • Bayesian concepts
    • Hypotheses testing
Education requirements
Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience
Skills/Aptitude
  • Engineering and detective mindset
    • Both to diagnose data and existing algorithms and to develop new analytics functionality
  • Pragmatic approach to real-world problems
  • Focus on problem solving over applying specific models
  • Willingness to make approximations and assumptions rather than find "the" optimal solution
  • Ability to combine multiple techniques and models to solve end-to end-problems
  • Communication and collaboration skill
  • Ability to convert non-technical requests into project specifications