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Data Science Startup Jobs in Texas (NOW HIRING)

BetterUp

AI Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field-or equivalent ... Track record of working in a high-growth startup or scale-up environment where priorities evolve ...

MegazoneCloud US

Sr. Solutions Architect AI

Frisco, TX · On-site

... Data Science, or a related field (Master's or PhD preferred). • A startup mentality, a strategic approach to problem-solving, and a genuine thirst for knowledge. Preferred : • Relevant high-level ...

webAI Inc

AI Research Scientist

Austin, TX · On-site

We recognize the evolving demands of a data-driven society for scalability and flexibility, and we ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Preferred ...

Realtor.com Careers

Senior Data Analyst, Avail

Austin, TX · On-site

$85K - $107K/yr

The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize ... Built with the spirit of a startup and backed by the scale and stability of a leading digital real ...

Realtor.com Careers

Senior Data Analyst, Avail

Austin, TX · On-site

$85K - $107K/yr

The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize ... Built with the spirit of a startup and backed by the scale and stability of a leading digital real ...

USM

JB061761 - MLOps Engineer

Grapevine, TX · On-site

$80/hr

... data science code into scalable, reusable service Platform & Pipeline Engineering Design and ... Work Environment Fast paced, POC so like a startup, must be a self starter Additional Skills ...

Linde

Electrical Reliability Engineer

The Woodlands, TX

$93K - $118K/yr

Familiarity with motor startup procedures, control systems, industrial networks, and IT tools * You have strong analytical, conceptual, and data science skills, including analysis of complex, high ...

Contoro Robotics

Data Engineer, Cloud Platform

Austin, TX · On-site

$113K - $136K/yr

Contoro Robotics is an Austin-based startup revolutionizing warehouse automation with AI-powered ... S. in Computer Science, Engineering, or related field (or equivalent industry experience) • ...

Cloudera

Staff Software Engineer - AI

Austin, TX · Hybrid

This role requires an empathetic mindset and close collaboration with front-end/web UI engineers, data scientists, designers, and product management. We look for "The Startup Spark", a desire to ...

Contoro Robotics

Data Engineer, Cloud Platform

Austin, TX · On-site

$113K - $136K/yr

Contoro Robotics is a fast-growing startup headquartered in Austin, TX, focused on revolutionizing ... S. in Computer Science, Engineering, or related field (or equivalent industry experience) • ...

Cloudera

Staff Software Engineer - AI

Austin, TX · Hybrid

This role requires an empathetic mindset and close collaboration with front-end/web UI engineers, data scientists, designers, and product management. We look for "The Startup Spark", a desire to ...

Cloudera, Inc.

Staff Software Engineer - AI

Austin, TX · On-site

This role requires an empathetic mindset and close collaboration with front-end/web UI engineers, data scientists, designers, and product management. We look for "The Startup Spark", a desire to ...

Capital One

Sr. Manager- Data Analysis

Plano, TX

When we launched as a startup we disrupted the credit card industry by individually personalizing ... With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with ...

Capital One

Sr. Manager- Data Analysis

Plano, TX · On-site

When we launched as a startup we disrupted the credit card industry by individually personalizing ... With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with ...

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Showing results 41-60

All JobsData Science Startup JobsData Science Startup Jobs in Texas

Data Science Startup information

See Texas salary details

$20.7K

$99.3K

$185.1K

How much do data science startup jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data science startup in Texas is $99,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,567.00 and $138,071.00 per year, depending on experience, location, and employer.

What is a Data Science Startup job?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in Texas? The most popular types of Data Science Startup jobs in Texas are:
What are popular job titles related to Data Science Startup jobs in Texas? For Data Science Startup jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Startup jobs in Texas look for? The top searched job categories for Data Science Startup jobs in Texas are:
What cities in Texas are hiring for Data Science Startup jobs? Cities in Texas with the most Data Science Startup job openings:
Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,272 per year, or $47.7 per hour.
AI Data Engineer

AI Data Engineer

BetterUp

Austin, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
We do. We can't cram it all in here, but you'll start noticing it from the first interview.
Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met, and most importantly, work that matters.
Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
If that sounds exciting-and the job description below feels like a fit-we really should start talking.
We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying.
The Opportunity
BetterUp's GTM Data & Operations team is investing in the infrastructure, intelligence, and automation that powers our go-to-market engine. As an AI / Data Engineer (P3), you will sit at the intersection of data engineering and applied AI-building the pipelines, models, and systems that help our Sales, Marketing, and Customer Success teams move faster, make smarter decisions, and drive measurable business impact. This is a high-impact role for someone who thrives when technology and strategy meet.
What You'll Do
Data Engineering & Infrastructure
  • Design, build, and maintain scalable data pipelines that serve clean, reliable data across the GTM stack.
  • Own and evolve our data warehouse architecture (Snowflake) to support GTM analytics, reporting, and AI workloads.
  • Establish and enforce data quality standards, documentation practices, and governance frameworks to ensure trustworthy data at scale.
  • Develop and maintain dbt models, SQL transformations, and Python scripts that power self-serve reporting and downstream analysis.
  • Define and track key GTM metrics, ensuring consistent definitions and reliable data pipelines that support executive and board-level reporting.
Applied AI for GTM
  • Develop and deploy AI tools for high-impact GTM use cases including lead scoring, pipeline forecasting, churn prediction, and customer segmentation.
  • Partner with Sales, Marketing, and RevOps stakeholders to identify where AI can automate workflows, surface insights, and unlock new capacity.
  • Integrate LLMs and generative AI tooling into GTM systems to streamline operations and accelerate decision-making.
  • Measure and iterate on created systems, translating outputs into actionable tools that are accessible to non-technical stakeholders.
  • Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
  • Coach teammates through AI adoption, helping them build new capabilities and overcome resistance to change.

If You Have Some or All of the Following, Please Apply
Required
  • 3-5 years of experience in data engineering, analytics engineering, GTM engineering or applied AI roles.
  • Strong proficiency in Python and SQL.
  • Experience building and maintaining data pipelines, reverse ETL workflows and working with modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
  • Familiarity with agentic coding tools (Claude Code, Cursor, etc.).
  • Familiarity with GTM tools and ecosystems (Salesforce, Hubspot, Clay, etc.).
  • Demonstrated ability to build and deploy models (lead scoring, forecasting, classification) in a business context.
  • Experience integrating data and AI into CRM and/or marketing automation platforms (Salesforce, HubSpot, Marketo, etc.).
  • Familiarity with BI tools such as Looker or Hex for dashboard development and self-serve analytics.
  • Familiarity with software engineering principles and tools (version control, CI/CD, testing, code review, Github etc.)
  • Systems-level thinking with the ability to trace data and logic across multiple platforms (e.g., HubSpot → Salesforce → Snowflake → BI layer) and understand how changes in one system ripple across the stack.
  • Strong communication skills with the ability to translate complex technical work into business impact.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field-or equivalent practical experience.

Preferred
  • Prior experience in a Revenue Operations or GTM Analytics function at a B2B SaaS company.
  • Hands-on experience building with LLMs or deploying generative AI solutions in a production environment.
  • Hands-on experience with decoupled or "headless" semantic layers (Cube, Snowflake Cortex etc.)
  • Track record of working in a high-growth startup or scale-up environment where priorities evolve quickly.
  • Hands-on experience with dbt for data transformation.

AI at BetterUp
Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology-people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work.
As an AI / Data Engineer, you will be expected to:
  • Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
  • Set measurable AI improvement objectives based on functional strategy with minimal manager direction.
  • Ensure failed AI experiments generate documented learnings that inform future decisions and prevent rework.
  • Make decisions about AI processes and tools that impact your direct team, neighboring teams, and cross-functional partners.
  • Re-architect team processes to incorporate AI at scale-automated reporting, intelligent workflow routing, systems building.

During our interview process, you'll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. We encourage all candidates to share examples of how they've used AI tools in their work.
Benefits
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
  • Access to BetterUp coaching; one for you and one for a friend or family member
  • A competitive compensation plan with opportunity for advancement
  • Medical, dental, and vision insurance
  • Flexible paid time off
  • All federal/statutory holidays observed
  • 4 BetterUp Inner Work Days
  • 5 Volunteer Days to give back
  • Learning and Development stipend
  • Company wide Summer & Winter breaks
  • Year-round charitable contribution of your choice on behalf of BetterUp
  • 401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don't hesitate to reach out-we encourage everyone interested in joining us to apply.
BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.
Base salary range for this role is:
$133,000- $185,000
We value your privacy. Your personal data will be processed in accordance with our Privacy Policy. If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to support@betterup.co
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