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

Entegris

Senior Data Scientist

Austin, TX · On-site

Build AI assistants, intelligent agents, chatbots, and copilot solutions that automate engineering ... What We Seek * Master's degree in Data Science, Computer Science, Electrical Engineering ...

Entegris

Senior Data Scientist

Round Rock, TX · On-site

Build AI assistants, intelligent agents, chatbots, and copilot solutions that automate engineering ... What We Seek * Master's degree in Data Science, Computer Science, Electrical Engineering ...

Entegris

Senior Data Scientist

Austin, TX · On-site

Build AI assistants, intelligent agents, chatbots, and copilot solutions that automate engineering ... What We Seek * Master's degree in Data Science, Computer Science, Electrical Engineering ...

Entegris, Inc.

Senior Data Scientist

Austin, TX · On-site

Build AI assistants, intelligent agents, chatbots, and copilot solutions that automate engineering ... What We Seek * Master's degree in Data Science, Computer Science, Electrical Engineering ...

Visa

Data Scientist

Austin, TX · On-site

$123K/yr

... * Assist in shaping overall direction, life-cycle management, and leadership for Information ... in data science, mathematics, statistics, economics, computer science, engineering, or other ...

Visa

Data Scientist

Austin, TX · On-site

$123K/yr

... * Assist in shaping overall direction, life-cycle management, and leadership for Information ... in data science, mathematics, statistics, economics, computer science, engineering, or other ...

HEB

Data Engineering Manager

Austin, TX

You will partner closely with Product Management, Data Science, Machine Learning Engineering ... * Assist in diagnosing and resolving highly complex technical and operational issues. Customer ...

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All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Austin, TX

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Austin, TX?

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

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

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

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

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

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

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

Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Austin, TX as of September 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 91% In-person, and 9% Remote job distribution.

Data Science Intern - Summer 2027

Austin, TX • On-site

WhiteWater Midstream
See more jobs at WhiteWater Midstreamexternal

Temporary, Internship

Posted 19 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

Apply