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

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Mentor and uplift junior data scientists, setting standards for excellence Minimum Qualifications * Bachelor's Degree in Mathematics, Statistics, Computer Science or a related field * 5+ years of ...

Wealthfront

Senior Data Scientist, Home Lending

Austin, TX · On-site

$185K - $211K/yr

Depending on experience and interest, management of more junior Data Science team members. Requirements * A Master's or a PhD degree in a quantitative field such as Statistics, Operations Research ...

Wealthfront

Senior Data Scientist, Home Lending

Austin, TX · On-site

$185K - $211K/yr

Depending on experience and interest, management of more junior Data Science team members. Requirements * A Master's or a PhD degree in a quantitative field such as Statistics, Operations Research ...

Smadex

Senior Data Scientist

Austin, TX · On-site

$100 - $125/hr

Raise the bar for analytical rigor across the organization, mentoring junior team members and ... Data Science, or Economics). * Technical Mastery: Advanced proficiency in Python and SQL.

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

Raise the bar for analytical rigor across the organization, mentoring junior team members and ... Statistics, Computer Science, Data Science, or Economics). * Technical Mastery: Advanced ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

Raise the bar for analytical rigor across the organization, mentoring junior team members and ... Statistics, Computer Science, Data Science, or Economics). * Technical Mastery: Advanced ...

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Data Science Junior information

See Austin, TX salary details

$34.2K

$78.7K

$126.4K

How much do data science junior jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science junior in Austin, TX is $78,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $80,800.00 per year, depending on experience, location, and employer.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

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

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

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 Junior jobs in Austin, TX?

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

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

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

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

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

Data Science Junior jobs near you
Infographic showing various Data Science Junior 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 $78,654 per year, or $37.8 per hour.

AI Engineer, Data Science

Future Secure AI

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 23 days ago

Key responsibilities

  • Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users

  • Analyse complex, large-scale structured and unstructured datasets to uncover insights and opportunities

  • Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance

Job description

About the Company
At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
As a Senior AI Engineer - Data Science, you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems-particularly LLM-driven solutions-that solve high-value, real-world problems for enterprise clients.
You'll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.
Your work will directly contribute to AI systems that have the potential to transform industries-and society.
Responsibilities
  • Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
  • Analyse complex, large-scale structured and unstructured datasets to uncover insights and opportunities
  • Enhance LLM output quality across diverse use cases, including optimisation of multi-step reasoning chains
  • Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
  • Influence long-term data and AI strategy, including governance, ethical AI, and scalable frameworks
  • Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production-ready solutions
  • Mentor and uplift junior data scientists, setting standards for excellence

Minimum Qualifications
  • Bachelor's Degree in Mathematics, Statistics, Computer Science or a related field
  • 5+ years of experience as a Data Scientist with hands-on experience and a track record of delivering impactful ML and AI outcomes
  • Experience within the AI sector
  • Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
  • Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, GPT-based systems)
  • Python experience focused on machine learning and NLP
  • Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
  • Empathy, humility, and a growth mindset-open to feedback and committed to collaboration
  • Comfort working in an agile, fast-evolving environment

Preferred Qualifications
  • Masters Degree or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related field
  • Knowledge of other software languages in addition to Python

Why Join Us?
  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

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