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Remote Data Scientist Machine Learning Jobs in Kyle, TX

Honor

Staff Data Platform Engineer

Austin, TX · Remote

... machine learning. At Honor, we're not building technology for technology's sake. We're building ... Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex ...

SMITH & NEPHEW SNATS INC

Director, Clinical Data & AI

Austin, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Embed AI, machine learning modeling, and automation into CDM workflows to improve efficiency and ... High-complexity AI/data science initiatives 8. Regulatory & Data Governance Leadership * Ensure all ...

micro1 AI

AI Trainer - Microbiology Expert

Austin, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

The Zebra

Senior Technical Product Manager

Austin, TX · Remote

$129K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we ... Define and own the product vision, strategy, and roadmap for data science and machine learning ...

YO AI Labs

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Interactive Process Technology LLC

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Data Engineer Remote At IPT Associates (IPTA), we enjoy solving real-world problems with technology ... That's why we encourage learning, growth, and trying new things-even if you don't have all the ...

Varsity Tutors

Python Tutor

Austin, TX · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

Varsity Tutors

Python Tutor

San Marcos, TX · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

... data API and pipeline architectures. * Design, build and implement machine learning models ... Bachelor's degree and/or graduate degree in Computer Science, Data Science, Data Analytics ...

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All JobsData Scientist Machine Learning JobsRemote Data Scientist Machine Learning JobsRemote Data Scientist Machine Learning Jobs in Kyle, TX

Remote Data Scientist Machine Learning information

See Kyle, TX salary details

$36K

$117.8K

$188.6K

How much do remote data scientist machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data scientist machine learning in Kyle, TX is $117,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,500.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

What are popular job titles related to Remote Data Scientist Machine Learning jobs in Kyle, TX?

For Remote Data Scientist Machine Learning jobs in Kyle, TX, the most frequently searched job titles are:

What cities near Kyle, TX are hiring for Remote Data Scientist Machine Learning jobs?

Cities near Kyle, TX with the most Remote Data Scientist Machine Learning job openings:

Remote Data Scientist Machine Learning jobs near you

Senior Machine Learning Engineer, Causal & Decision Systems

CSC Generation

Austin, TX • Remote

$107K - $146K/yr

Full-time

Posted 5 days ago

Job description

CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently.

We are starting with pricing and expanding into areas such as inventory, purchasing, promotions, marketing, and assortment.

 The Role

You will help build systems that:

**estimate causal response + quantify uncertainty → choose actions → generate useful information → observe outcomes → update policies → evaluate challengers → deploy within guardrails**

We want to answer questions such as:

- What happens **because we change a price**, rather than simply what happens next?
- How should uncertainty affect a decision?
- When should the system exploit what it knows versus experiment to learn?
- Can we estimate the value of a challenger policy before fully deploying it?
- How do we optimize economic outcomes while respecting inventory, margin, vendor, customer, and operational constraints?

What You’ll Work On

Depending on your background, you may work across:

- causal and heterogeneous treatment-effect modeling;
- uncertainty estimation and calibration;
- contextual bandits, active learning, or sequential decision-making;
- policy learning and constrained optimization;
- counterfactual and off-policy evaluation;
- experimentation and champion/challenger systems;
- production ML infrastructure, monitoring, and automated deployment.

We care about selecting the right method, not using a particular framework.

What Success Looks Like

Success is not a better offline metric.

The systems you build should produce measurable economic lift in controlled experiments, generalize across businesses, learn from their own interventions, and safely automate an increasing share of real commercial decisions.

Over time, the goal is simple:

**the system should become better at operating the business because it has operated the business.**

What We’re Looking For

We care more about exceptional technical ability and judgment than matching a checklist.

Strong candidates will have experience in several of:

- machine learning and statistical modeling;
- causal inference and experimentation;
- recommendation, advertising, pricing, marketplace, credit, or other decision systems;
- bandits, reinforcement learning, optimization, or active learning;
- uncertainty estimation;
- counterfactual evaluation;
- production ML systems;
- Python, SQL, and large behavioral datasets.

Why This Role Is Different

Most ML systems learn from a dataset.

Here, **the decisions made by the model influence the data the model sees next**.

That creates a continuous loop:

**Decision → intervention → outcome → learning → better decision**

The long-term opportunity is to build that capability once and apply it across a portfolio of businesses and increasingly broad commercial decisions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

CSC Generation logo

About CSC Generation

Sourced by ZipRecruiter

CSC Generation is a multi-brand technology platform based in Merrillville, IN, United States. The organization operates in the retail sector and utilizes technology to save retail companies from going into bankruptcy, while also offering consumers the ability to lease their purchases. Founded by serial entrepreneur, Justin Yoshimura, CSC Generation has leveraged its proprietary technology and customer database to quickly revitalize distressed retail brands. The company's mission revolves around the concepts of reinvention and innovation as it aims to redefine traditional retail and direct-to-consumer models in today's digital age. Notably, the company has, to date, acquired several brands such as DirectBuy, Killion, and most notably, Z Gallerie, growing fast within the e-commerce sector.

Company size

501 - 1,000 Employees

Headquarters location

Merrillville, IN, US

Year founded

2016

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