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Data Science Startup Jobs in Austin, TX (NOW HIRING)

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 ...

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

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 ...

SpangleAI Inc.

AI/ML Scientist

Austin, TX · On-site

... startup. What you'll own: * AI/ML Research and Innovation: Conduct cutting‐edge research in ... D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical ...

SpangleAI Inc.

AI/ML Scientist

Austin, TX · On-site

... startup. What you'll own: * AI/ML Research and Innovation: Conduct cutting‐edge research in ... D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical ...

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Data Science Startup information

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$23.1K

$110.8K

$206.5K

How much do data science startup jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data science startup in Austin, TX is $110,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,418.00 and $154,046.00 per year, depending on experience, location, and employer.

What is a data science startup?

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 a data science startup, 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 Austin, TX?

The most popular types of Data Science Startup jobs in Austin, TX are:

What job categories do people searching Data Science Startup jobs in Austin, TX look for?

The top searched job categories for Data Science Startup jobs in Austin, TX are:

What cities near Austin, TX are hiring for Data Science Startup jobs?

Cities near Austin, TX with the most Data Science Startup job openings:

Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,759 per year, or $53.2 per hour.

Lead Data Scientist

Austin, TX • On-site

Veracity Software Pvt. Ltd.
See more jobs at Veracity Software Pvt. Ltd.external

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Veracity Software Pvt. Ltd. is seeking a Lead Data Scientist to design, build, and optimize data models and infrastructure for analysis-driven decision making. The role involves collaborating with cross-functional teams to deliver data analytics that drive strategic decisions and enhance the data ecosystem.
Responsibilities:
• Develop a deep analytic understanding of product (both qualitative and quantitative) to provide data-based analytics to deliver innovation and optimization across user acquisition, engagement, and profitability
• Collaborate with cross-functional business teams including marketing, product, and strategy to translate business needs into robust and actionable solutions Clean and analyze robust user datasets to identify trends, patterns, and insights using statistical methods and software tools that can power forecasting and decision making
• Conduct data profiling and data quality analysis and convey results clearly to help business understanding of problems and effects
• Identify and fill reporting gaps in existing data infrastructure as well as maintaining data documentation
• Develop strategies to capture and utilize untapped analysis and data sets
• Ensure data integrity, accuracy, and accessibility across various business functions.
• Implement and manage data governance best practices
• Work with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and analytics tools (e.g., dbt, Looker, Tableau, Sigma) in addition to standing up a data science tool stack
Qualifications:
Required:
• 5+ Years of experience in data science, analytics engineering, data engineering, or a related role.
• Strong Python and SQL skills, plus experience with modern data warehouses (Snowflake, BigQuery, Redshift).
• Strong analytical abilities with the capacity to gather, arrange, organize, and communicate a substantial amount of information with accuracy and attention to detail.
• Understanding of data modeling principles (Kimball, Star Schema, etc.).
• Familiarity with BI tools like Sigma, Looker, Tableau, or Mode Analytics.
• Strong problem-solving skills and ability to work cross-functionally with technical and non-technical teams.
• Passion for data-driven decision-making, improving business outcomes, restaurants and hospitality.
Preferred:
• Bachelor's degree in computer science, data science, mathematics, information sciences, statistics or related field or equivalent work experience.
• Experience with feature engineering and supervised learning models.
• Experience building and maintaining ETL pipelines.
• Previous startup experience.
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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