ZipRecruiter

Log In

1

Data Scientist Startup Jobs in Texas (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 ... DATA SCIENTIST The Data Scientist role provides you with a unique opportunity to join a high growth ...

Shipwell

Senior Data Scientist

Austin, TX

With a fast-paced and gritty startup mentally, which is generating a buzz in the investment world ... DATA SCIENTIST The Data Scientist roleprovides you with a unique opportunity to join a high growth ...

CharterUP

Staff Data Scientist

Austin, TX · On-site

... high-growth or startup environments. * Machine Learning & Statistical Expertise: Hands-on ... Demonstrated ability to align data science initiatives with business goals, translating complex ...

jobr.pro

Staff Data Scientist

Austin, TX · On-site

$220 - $250/hr

Staff Data Scientist Reports to: Chief Product Officer Location: This position is based in Austin ... or startup environments. * Machine Learning & Statistical Expertise: Hands‑on experience ...

New

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 ...

next page

Showing results 1-20

All JobsData Scientist Startup JobsData Scientist Startup Jobs in Texas

Data Scientist Startup information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data scientist startup jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data scientist startup in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What does a data scientist do at a startup?

A Data Scientist at a startup typically wears many hats, leveraging data to drive business decisions, build predictive models, and develop data-driven products. Unlike in larger companies, startup Data Scientists often work closely with other teams, handle end-to-end data pipelines, and may even take on responsibilities like data engineering or analytics. The fast-paced environment requires adaptability, strong problem-solving skills, and the ability to quickly turn raw data into actionable insights that can have a direct impact on the company's growth.

What is the difference between Data Scientist Startup vs Data Analyst?

AspectData Scientist StartupData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL
Work EnvironmentFast-paced startup setting, cross-functional teams, innovative projectsCorporate or business environment, reporting and visualization tasks
Employer & Industry UsageTech startups, e-commerce, SaaS companiesFinancial firms, marketing agencies, retail companies

In summary, Data Scientist Startup roles focus on advanced analytics, machine learning, and building predictive models, requiring stronger technical skills and often a higher level of education. Data Analysts typically handle data reporting, visualization, and basic analysis, with a focus on interpreting existing data for business insights. Both roles are essential but differ in complexity and scope within startup environments.

What are the key skills and qualifications needed to thrive as a data scientist in a startup?

To thrive as a Data Scientist in a startup, you need a solid foundation in statistics, data analysis, and programming (often Python or R), usually backed by a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning libraries (like scikit-learn, TensorFlow), cloud platforms (such as AWS or GCP), and data visualization tools (such as Tableau or Power BI) is typically required. Strong problem-solving skills, adaptability, and the ability to communicate complex findings to non-technical stakeholders are essential soft skills. These competencies are crucial in a startup environment, where rapid iteration, cross-functional collaboration, and translating data insights into actionable business strategies are key to driving growth and innovation.

What unique challenges might a data scientist face when working at a startup compared to a larger company?

At a startup, Data Scientists often work with limited resources, less historical data, and rapidly changing business priorities. This means you'll likely wear multiple hats—handling data collection, cleaning, modeling, and sometimes even deploying solutions on your own. The pace is fast, and you'll need to adapt quickly to shifting objectives while collaborating closely with engineers, product managers, and founders. However, this environment also offers significant opportunities to make a direct impact and gain broad experience across the data science pipeline.
What are popular job titles related to Data Scientist Startup jobs in Texas? For Data Scientist Startup jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Scientist Startup jobs in Texas look for? The top searched job categories for Data Scientist Startup jobs in Texas are:
What cities in Texas are hiring for Data Scientist Startup jobs? Cities in Texas with the most Data Scientist Startup job openings:
Data Scientist Startup jobs near you
Infographic showing various Data Scientist Startup job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Senior Data Scientist

Shipwell

Austin, TX • On-site

Full-time

Re-posted 14 days ago

Job description

Data Scientist
ABOUT US
Shipwell believes we are fundamentally changing the logistics industry and breaking the mold for how the supply chain has been operated for centuries. We work with thousands of shippers and carriers to create the first real solution in logistics through an unmatched technology platform. With a fast-paced and gritty startup mentally, which is generating a buzz in the investment world, Shipwell provides a unique opportunity to get in on the ground floor of a future Fortune 500 Company. We are backed by some of the best investors in both Silicon Valley and Austin who believe we are onto something and we need the right people to continue our rapid growth plan towards changing the world of freight.
DATA SCIENTIST
The Data Scientist role provides you with a unique opportunity to join a high growth, third-party logistics company as we pivot into a record-breaking 3rd year. We're laying the foundation on which our industry will be reinvented; we're looking for individuals who want to part of a significant change. Ideas come from being an innovator and an amplifier, that strives to achieve more, for themselves and to enable greatness in others.
WHAT YOU WILL DO WHEN YOU GET HERE
  • Analyze client proprietary and public domain datasets leveraging advanced analytics and statistics to work on scheduling and network optimization, macroeconomic forecasting, pricing, and routing
  • Source, clean, and process a diverse set of data streams
  • Identify and understand business needs and contextualize results of the analysis to drive impact for the organization as a whole
  • Dynamically collaborate with operations and product teams to refine project goals, scope, and timelines
  • Provide consulting services on both internal and external analytic questions

WHAT YOU NEED TO HAVE
  • Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical disciplines
  • Expert knowledge in a mathematical programming language of choice (preferred: R, Python, Matlab)
  • Experience with ETL processes for manipulating data sets
  • Detail-oriented, proactive problem-solving skills
  • Ability to communicate complex findings in a clear, precise, and actionable manner. Able to translate high-level ideas into well-defined problems
  • 2+ years work experience (non-academic)
  • Experience with API integration
  • Experience with a visualization platform (e.g. Tableau) and experience with database manipulation (e.g. SQL) - preferred

WHY SHIPWELL?
  • Corporate headquarters in sunny Austin, TX
  • Incredible growth opportunity at one of the fastest growing companies in Austin
  • The kitchen is fully stocked with local coffee, drinks, and snacks
  • Company sponsored healthcare insurance and dental insurance
  • Team building events and office competitions
  • Partial cell phone reimbursement
  • Receive an elite technology package to include a brand new MacBook Pro!
  • Competitive salary
  • Opportunity to put your thumbprint on a high-growth company in the early stages
  • An open work environment where everyone, even the new folks, have a voice

View all our open positions at www.shipwell.com/careers
We've announced our Series A financing round! Read more on TechCrunch.
Shipwell is an equal opportunity employer. In keeping with the values of Shipwell, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We have pledged to create a diverse and culturally strong company and environment.

Apply