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Data Science Startup Jobs in Texas (NOW HIRING)

SpangleAI

AI/ML Scientist

Austin, TX · On-site

Spangle AI is a dynamic startup focused on connecting AI-led discovery to real-time conversion ... D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical ...

Shipwell

Senior Data Scientist

Austin, TX · On-site

With a fast-paced and gritty startup mentally, which is generating a buzz in the investment world ... Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical ...

Civitech

Software Engineer, Geospatial Data

Austin, TX · On-site +1

$113K - $136K/yr

Our rigorous approach to product design, testing, and data science leads to accurate assessments of ... You thrive in a fast-paced startup environment, enjoy building software for the public good, and ...

Steadily

Technical Recruiter

Austin, TX · On-site

... 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 ...

Steadily

Technical Recruiter

Austin, TX · On-site

... 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 ...

Reup Education

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 ...

Upgrade Resources

Startup Manager

Fort Worth, TX

$114K - $135K/yr

The company specializes in major mechanical projects for hospitals, data centers, and high-rise ... Bachelor of Science in Mechanical Engineering preferred. * Strong verbal and written communication ...

THE HELPER BEES INC

Senior Data Scientist

Austin, TX · On-site

Description Join our winning team , recently honored as on Forbes' list of America's Best Startup ... Bachelor\'s degree in Data Science, Statistics, Computer Science, Mathematics, or related ...

1 point system

Sr. Platform AI Engineer

Dallas, TX · On-site

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 ...

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Showing results 21-40

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 24, 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/ML Scientist

SpangleAI

Austin, TX • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
Spangle AI is a dynamic startup focused on connecting AI-led discovery to real-time conversion, recently recognized for its innovative solutions in the e-commerce sector. They are seeking an AI/ML Scientist responsible for building generative AI and large language models, collaborating with cross-functional teams to enhance customer experiences and product offerings.
Responsibilities:
• Conduct cutting-edge research in Generative AI (GAI) and Large Language Models (LLMs), staying at the forefront of AI/ML advancements.
• Identify and explore novel algorithms, architectures, and techniques to enhance model performance, scalability, and efficiency in e-commerce applications.
• Train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance, personalization, and customer interaction.
• Design, build, and manage ETL processes to gather data from various sources, transform it into a usable format, and load it into a data warehouse or data lake.
• Collaborate with product, engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve complex problems and enhance customer experiences.
• Design and conduct experiments to evaluate the performance and effectiveness of generative and language models in an e-commerce context.
Qualifications:
Required:
• Ph.D. or Master’s degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence
• 2-5 years of experience, proven experience in developing and deploying AI applications end to end in real-world applications, preferably in e-commerce or a related field
• Deep expertise in generative models (e.g., GANs, diffusion models, autoencoders) and Large Language Models (e.g., GPT, BERT, T5, LLaMA)
• Experience with LLM fine-tuning, RL post training, prompt engineering, and deploying LLMs for applications such as natural language understanding, content generation, and recommendation systems
• Strong understanding of the architecture and training techniques for transformer-based models, attention mechanisms, and optimization strategies for LLMs
• Expertise in distributed training of large-scale models, including using parallelization and optimization techniques for handling large datasets
• Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, and libraries focused on GAI/LLM development
• Familiarity with data warehouse and data pipeline technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake, Apache Airflow)
• Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying and scaling machine learning models, especially those involving LLMs and GAI
• Understanding of reinforcement learning and its applications within generative AI and LLMs for decision-making, personalization, or conversational AI systems
Company:
As more of the shopping journey shifts to Instagram, Tik tok, ChatGPT and Google, purchase decisions form before consumers reach your site. Founded in 2024, the company is headquartered in Bellevue, USA, with a team of 2-10 employees. The company is currently Early Stage.

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