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Remote Full Stack Data Scientist Jobs in Spring, TX

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

... data processing or space robotics among many others. You will be part of our team, full of talent and desire to innovate, where you will: * ... * ... * ... DO YOU WANT TO BE PART OF OUR TEAM? If you ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience across the full machine learning lifecycle, including experimentation, evaluation ...

Responsibilities * Lead delivery of full-stack, cloud, and data-centric client engagements ... Availability to work in a hybrid schedule, combining office and remote work * In compliance with ...

Progress toward full-stack competency (frontend, backend, integrations) * Become increasingly ... Remote first work environment * Choice of a HDHP or PPO Medical plan, we pay 100% of the premium ...

Sr. Innovation Software Engineer

Houston, TX · On-site +1

$114K - $150K/yr

This role requires strong hands-on full-stack engineering skills, experience building AI integrated ... Bachelor's degree in Computer Science, Information Technology, Engineering or a related technical ...

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Showing results 1-20

Remote Full Stack Data Scientist information

See Spring, TX salary details

$40.9K

$146.8K

$216.7K

How much do remote full stack data scientist jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote full stack data scientist in Spring, TX is $146,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $151,300.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Data Scientist?

A Remote Full Stack Data Scientist is a professional who works from any location to handle the end-to-end process of data science projects. This includes collecting and cleaning data, developing and training machine learning models, deploying solutions into production, and sometimes building user-facing applications. They are skilled in both back-end (data engineering, modeling) and front-end (visualization, application development) tasks. Remote Full Stack Data Scientists often collaborate with distributed teams using digital communication and project management tools. Their broad skill set allows them to manage the entire data pipeline and deliver actionable insights or products remotely.

How do Remote Full Stack Data Scientists typically collaborate with cross-functional teams in a virtual environment?

Remote Full Stack Data Scientists frequently work with product managers, engineers, and business analysts using collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, clear documentation, and version control systems (like Git) help ensure transparency and alignment across teams. Effective communication and proactive updates are essential to keep projects on track and to integrate data-driven insights into the broader product development process.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Data Scientist, and why are they important?

To thrive as a Remote Full Stack Data Scientist, you need a strong foundation in statistics, machine learning, data engineering, and programming languages like Python or R, usually supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, SQL databases, cloud platforms (AWS, Azure, GCP), and experience with version control systems like Git are typically required. Excellent problem-solving, communication, and self-motivation skills are crucial for collaborating remotely and translating complex data insights to stakeholders. These combined abilities ensure effective end-to-end data solutions, seamless remote teamwork, and impactful business outcomes.
What are popular job titles related to Remote Full Stack Data Scientist jobs in Spring, TX? For Remote Full Stack Data Scientist jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Data Scientist jobs in Spring, TX look for? The top searched job categories for Remote Full Stack Data Scientist jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Full Stack Data Scientist jobs? Cities near Spring, TX with the most Remote Full Stack Data Scientist job openings:
Infographic showing various Remote Full Stack Data Scientist job openings in Spring, TX as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $146,848 per year, or $70.6 per hour.
Senior Full-Stack Engineer

Senior Full-Stack Engineer

SynMax

Houston, TX • Remote

Full-time

Posted 9 days ago


Job description

About Us
 
We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory.
 
The Role
 
We are looking for a Senior Full-Stack Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop solutions across our backend and frontend systems to power our products.
 
Key Responsibilities
 
System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases.
Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customers
Data Visualization: Ensure vast quantities of geospatial and tabular data are visually explorable in a reproducible, performant format.
Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows.
Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives.
Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing.
Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices.
 
The Tech Stack
 
Cloud: Google Cloud Platform (GCP)
Backend & Data: Python (API First), Postgres
Frontend & Middle-Tier: TypeScript (React)
Minimum Qualifications
  • Work Authorization: Must be a US Citizen or US Permanent Resident.
  • Location/Timezone: Must be located and working within Central Time (CT) or Eastern Time (ET) zones (no West Coast/Pacific Time).
  • Education: BS degree in a STEM field.
  • Experience: 4+ years in a full-stack software engineering role, with a strong focus on data engineering.
  • Cloud Experience: 2+ years of hands-on experience in modern Cloud Systems (GCP, AWS, or Azure).
  • Core Languages: Production-grade proficiency in Python and TypeScript.
  • Technical Expertise: In-depth understanding of software engineering best practices, performant frontend interfaces, relational database design/optimization, and scalable API design.
  • AI Workflows: Experience with (or a strong, demonstrated interest in) adapting the SDLC for AI-assisted development.
  • Communication: Strong communication and coordination skills tailored for a distributed team environment spanning US and UK.
 
Preferred Qualifications
  • Domain knowledge in the Energy, Oil & Gas sectors.
  • Experience with geospatial data processing tools and databases.
  • Familiarity with additional languages, such as Go, Rust or C#.
What we offer
  • Compensation: Competitive salary and comprehensive benefits (medical, dental, vision).
  • Growth: Opportunities for career advancement as technical team member.
  • Flexibility: A fully remote role within a collaborative environment, plus optional access to our Houston office.
  • Impact: Direct involvement in products utilized by major players in the energy sector and government.
  • Continuous Learning: Mentorship from technical leaders
 
How To Apply
 
Please submit your resume and relevant project portfolios or GitHub repositories. We are particularly interested in examples where you have built scalable APIs, integrated diverse data sources, or developed internal tooling.
 
Note: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications or assessing responses. 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.
 

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.


SynMax logo

About SynMax

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Houston, TX, US

Year founded

2021