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Data Science New Grad Jobs in Austin, TX (NOW HIRING)

Netspend

Lead Data Scientist

Austin, TX · On-site

$120 - $170/hr

... new, high-impact assignments. Essential Functions & Responsibilities * Advanced Modeling ... Serve as the principal technical lead on significant data science projects. Determine the ...

Kaygen, Inc.

Data Scientist with strong Azure

Austin, TX · On-site

... new product introduction curves, product cannibalization, and retailer sell-in/sell-out dynamics ... Required : • 8+ years in data science or applied ML roles • 3+ years in CPG, FMCG, or retail ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

... measure the impact of new product features and ML algorithms. * Establish and govern key ... Statistics, Computer Science, Data Science, or Economics). * Technical Mastery: Advanced ...

Smadex

Senior Data Scientist

Austin, TX · On-site

$100 - $130/hr

... measure the impact of new product features and ML algorithms. * Establish and govern key ... Data Science, or Economics). * Technical Mastery: Advanced proficiency in Python and SQL.

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

... measure the impact of new product features and ML algorithms. * Establish and govern key ... Statistics, Computer Science, Data Science, or Economics). * Technical Mastery: Advanced ...

ICON

Senior Software Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Find and evaluate new external data sources - manage relationships with data partners and vendors. * Contribute to CI/CD practices and engineering standards across the data platform. Data Science ...

Samsung Electronics Perú

Senior Data Scientist

Taylor, TX · On-site

$90 - $175/hr

... new methods, and iterate quickly based on feedback. Prior semiconductor experience is helpful but ... Required Bachelor's degree or higher in Data Science, Statistics, Computer Science, Physics, or a ...

New

Samsung Electronics America

Senior Data Scientist

Taylor, TX · On-site

$90K - $174K/yr

... new methods, and iterate quickly based on feedback. Prior semiconductor experience is helpful but ... Bachelor's degree or higher in Data Science, Statistics, Computer Science, Physics, or a related ...

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Showing results 41-60

All JobsData Science New Grad JobsData Science New Grad Jobs in Austin, TX

Data Science New Grad information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do data science new grad jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science new grad in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are popular job titles related to Data Science New Grad jobs in Austin, TX?

For Data Science New Grad jobs in Austin, TX, the most frequently searched job titles are:

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

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

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

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

Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 2 days ago

Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities

  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:

  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude

  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications

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