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

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

About the Company At Future Secure AI, we're building something genuinely new - and we're looking ... About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within ...

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Assesses the effectiveness and accuracy of new data sources and data gathering techniques.

Evaluate new data sources and analytical methods that may support product or business needs ... What you will likely bring: * 2-4 years' experience in data science, analytics, statistical ...

Explore and apply new methods, technologies, and approaches to expand the product's technical ... Expertise in Python and other cloud-based data science platforms (Databricks preferred), and ...

New Verticals About the Role As an Analytics Engineer, you'll play a key role in building and ... Collaborate with data scientists, data engineers, and business stakeholders to understand business ...

... new construction. For over 20 years, millions of home shoppers and renters have turned to Realtor.com ® to find their dream home or rental. Top Reasons to Apply: * You'll set the data science ...

New

Research new AI methods, tools, and frameworks and determine their applicability to business ... Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial ...

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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 Sep 13, 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 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:

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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.

Data Science Intern - Summer 2027

Austin, TX • On-site

Temporary, Internship

Posted 18 days ago


Job description

WWM Logistics, LLC is seeking a Data Science Intern to support its natural gas trading desk. This role sits at the intersection of daily market reporting and deeper quantitative analysis, providing traders with the timely fundamental data they need to evaluate supply and demand, while also partnering with the Data Scientist and Strategist on model development aimed at generating trading signals. This is an ideal opportunity for a detail-oriented, quantitatively skilled early-career professional looking to build a career in commodity trading and market analytics.

This role is the natural next step for graduates of WWM's Natural Gas Analyst / Data Science Internship. Completion of the internship is valued but not required - we also hire directly into this role.

Responsibilities:

Daily Fundamentals Reporting

  • Build, maintain, and deliver standardized daily reports summarizing natural gas supply and demand fundamentals (production, storage, weather-driven demand, pipeline flows, rig counts) used directly by traders to inform positioning
  • Own the rollout of these standardized reports and monitor them on an ongoing basis, troubleshooting data issues and refining processes to reduce manual turnaround time and improve reliability
  • Monitor and flag material shifts in fundamental data that could influence price movement, escalating findings to traders and senior analysts in real time
  • Maintain data integrity across multiple third-party and internal data sources (e.g., EIA, pipeline bulletin boards, weather services, production estimates)

Modeling & Analytics

  • Partner with the Data Scientist and Strategist to develop and refine quantitative models aimed at identifying trading signals from fundamental and market data
  • Support back-testing and validation of new analytical approaches, helping translate research into production-ready tools
  • Assist in building supply/demand balance models and scenario analyses across key basins and pipeline systems
  • Contribute to the automation and scaling of data pipelines that feed both daily reporting and longer-term research projects

Cross-Functional Support

  • Collaborate with traders to understand evolving information needs and adjust reporting/modeling priorities accordingly
  • Support ad hoc analysis requests tied to specific trading opportunities, contract structuring, or market events
  • Document methodologies and maintain clear version control across reporting and modeling tools

Qualifications:

Required

  • Bachelor's degree in Business, Finance, Economics, Mathematics, or a related quantitative field, preferably a May 2028 grad.
  • Working knowledge of SQL and Python or similar language for data analysis
  • Demonstrated interest in commodity markets, trading, or energy fundamentals (coursework, internships, trading simulations/competitions, or independent projects)
  • Excellent attention to detail and ability to manage recurring deliverables under time pressure
  • Strong written and verbal communication skills; ability to translate technical analysis for a trading audience
  • WhiteWater does not offer housing. Position is required to be in-office at our Austin location

Preferred

  • Prior completion of WWM's Data Science Internship, or equivalent internship experience in energy trading, fundamentals, or data analytics
  • Master's degree in Business, Finance, Economics, Mathematics, or a related quantitative field
  • Experience with data visualization tools (Power BI, Tableau)
  • Prior exposure to natural gas or broader energy markets
  • Experience with trading simulations, mock portfolios, or derivatives strategy
  • Ability to think critically and explain technical work to other colleagues

What Success Looks Like in the First Year:

  • Fully owns and continuously improves the daily fundamentals reporting suite, with traders relying on it as a core input to daily decision-making
  • Has contributed meaningfully to at least one modeling initiative alongside the Data Scientist/Strategist that has been incorporated into trading discussions
  • Demonstrates growing fluency in natural gas market structure, pipeline mechanics, and the specific basins/systems relevant to the desk's positions