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Data Science Startup Jobs in Texas (NOW HIRING)

... engineering, data science, and other technical or hard-to-fill roles such as finance and ... Startup mindset: Excited to join a fast-growing company and make a significant impact on technical ...

... engineering, data science, and other technical or hard-to-fill roles such as finance and ... Startup mindset: Excited to join a fast-growing company and make a significant impact on technical ...

Data Engineer II

Austin, TX · On-site

$115K - $125K/yr

You'll collaborate with Data Scientists, Product Managers, and other cross-functional stakeholders ... Experience working in higher education, education technology, and/or a startup. Benefits ...

Strong expertise in Python development (core language for AI and data science). * Proven experience ... Background in large enterprise or consulting environments (not early-stage startup only). * Strong ...

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 ...

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 ...

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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 Jun 10, 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 cities in Texas are hiring for Data Science Startup jobs? Cities in Texas with the most Data Science Startup job openings:
Technical Recruiter

Technical Recruiter

Steadily

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Location: Austin, TX
Employment Type: Full Time
Department: Talent Acquisition
Salary: Top of market salary + equity

Steadily is hiring a Technical Recruiter to own full-cycle recruiting for engineering, data science, and other technical or hard-to-fill roles such as finance and engineering management, helping scale a fast-growing, Series C company. This is a high-impact position where your hires will directly shape our technical roadmap, product capabilities, and long-term innovation.

You'll play a critical role in identifying, engaging, and closing exceptional talent across software engineering, engineering management, data science, machine learning, technical product functions, and other hard-to-fill areas.

This is a fully in-office role in Austin, TX, designed for someone who thrives in a fast-paced, highly collaborative environment.

What You’ll Do
  • Own full-cycle recruiting for technical and other hard-to-fill roles: source, screen, interview, and close candidates across engineering, engineering management, data science, and teams like finance and marketing.

  • Build and maintain strong pipelines of high-caliber technical talent through outbound sourcing, networking, and creative outreach strategies.

  • Partner deeply with engineering and other leaders to define role requirements, hiring plans, and interview processes.

  • Optimize technical recruiting channels (LinkedIn, GitHub, Stack Overflow, niche communities, job boards) to maximize candidate quality.

  • Deliver an exceptional candidate experience tailored to technical talent from first touch through offer.

  • Use data and metrics to drive continuous improvement in recruiting efficiency, funnel conversion, and time-to-fill.

  • Represent Steadily culture - excite top technical talent about Steadily’s mission, product, and engineering culture.

What We’re Looking For
  • Proven experience: 4+ years of full-cycle recruiting experience, with a strong focus on technical roles (engineering, data science, or similar).

  • Technical fluency: Ability to understand and discuss technical roles, skill sets, and hiring needs with engineers,data scientists, and other specific and technical roles.

  • Strong sourcing skills: Demonstrated success sourcing passive candidates for hard-to-fill technical roles.

  • Relationship builder: Able to build trust quickly with both candidates and technical hiring managers.

  • Detail-oriented: High standards for candidate experience, organization, and follow-through.

  • Data-driven & tech-savvy: Comfortable using ATS systems, sourcing tools, and analytics to improve outcomes.

  • Self-starter: Operates with urgency, ownership, and minimal oversight.

  • Startup mindset: Excited to join a fast-growing company and make a significant impact on technical team growth.

Compensation & Benefits
  • Compensation: Top of market salary + equity

  • Time Off: 3 weeks PTO + 6 federal holidays

  • Health Benefits: Medical, dental, vision, life, disability, HSA, FSA

  • Retirement: 401(k)

  • Perks: Free snacks, team lunches, and a highly collaborative in-office culture

Location
  • Austin, TX

  • Steadily is building a workplace environment of team members who are passionate and excited to be together in person. Our office is in Austin, TX and is key to our fast-paced growth trajectory.

Why Join Steadily?
  • Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match.

  • Top compensation. We pay at the top of the Austin market (see comp).

  • Growth opportunity: We’re an early-stage, fast-growing company where you’ll wear a lot of hats and shape product decisions.

  • Strong backing. We’re growing fast, we manage over $20 billion in risk, and we’re exceptionally well-funded.

  • Culture: Steadily boasts a very unique culture that our teammates love. We call it like we see it and we’re nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we’re all about.

  • Awards: We've been recognized both locally and nationally as a top place to work. Recently we were ranked 16th on Forbes' 2026 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC, a Top 2025 Startup in Newsweek, in Investopedia's Best Landlord Insurance Companies, and we won Austin Business Journal's Best Places to Work in 2025.

We’re excited to meet you!