UNKNOWN

FEED

Key Responsibilities • Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its governance • Leverage novel approaches to continuously improve model performance and business outcomes • Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment • Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems • Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage. This candidate will also partner with business stakeholders, technology teams, and risk partners to deliver high-quality ML/AI solutions and tools, and ensure responsible, effective deployment of AI solutions.

PROLIM Global Corporation

Data Scientist 1

This role will focus on building robust analytical methods and production-ready capabilities for benchmarking, similarity modeling, causal inference, sequence analysis, impact modeling, and scalable insight generation across large and diverse datasets. In this role, you will serve as a technical lead across multiple projects, working independently with minimal review while partnering closely with product managers, engineering teams, data engineering, domain experts, and other data scientists.

YEAR

Deere & Co

Staff Data Scientist

Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. In California, the pay range for this position is $163,200 - $236,400 In New York, the pay range for this position is $163,200 - $236,400 In Illinois, the pay range for this position is $149,100 - $216,000 In Washington, the pay range for this position is $157,900 - $228,575.

Adobe is the global leader in digital marketing and digital media solutions. Our tools and services enable our customers to create groundbreaking digital content, deploy it across media and devices, measure and optimize it over time, and achieve greater business success. We help our customers make, manage, measure and monetize their digital content across every channel and screen.  </p>  <h2>Digital media</h2><p> Adobe helps creative professionals, publishers, developers, and businesses create, publish, promote, and monetize their content anywhere.</p> <h2>Digital marketing</h2><p> Our digital marketing solutions combine content and data, personalization, experience management, and social capabilities so businesses can move faster from data to insights to action. </p>

ADOBE Inc

Senior Data Scientist, ML- Fraud Prevention

Recognized as a Leader in the 2026 Gartner Magic Quadrant for Strategic Portfolio Management for the fifth consecutive year, we proudly serve more than 3,000 customers globally, including 45% of the Fortune 100-and more than 3 million users worldwide. As part of our efforts to build a diverse workforce, we encourage applications from Indigenous, Black, and other racialized communities, 2SLGBTQIA+ communities, people with neurodivergence, immigrants, people with disabilities, and other equity deserving groups.

Planview, Inc.

Sr. Data Scientist

We provide the industry's most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. As part of our efforts to build a diverse workforce, we encourage applications from Indigenous, Black, and other racialized communities, 2SLGBTQIA+ communities, people with neurodivergence, immigrants, people with disabilities, and other equity deserving groups.

Data Scientist

This unique opportunity puts you at the center of ML and AI quality - owning the health of training and validation datasets, defining and analyzing observability metrics to surface actionable product insights, and leading telemetry analysis across GenAI workflows - ensuring Apples financial features are built on the highest-quality data, whether powering conventional ML models or the latest generative AI systems. Strong communication skills - ability to translate complex data quality findings and model health risks into clear, actionable insights for both engineering and non-technical stakeholdeExperience with data visualization and dashboarding tools (e.g., Tableau, Apache Superset, Databricks) to present complex ML telemetry.

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<h3 style="color: #ffffff; font-size: 16px; font-weight: normal;">We bring amazing people together to make amazing things happen.</h3>
<p>We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.</p>
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<h3 style="color: #666666; font-weight: 500;">About Apple</h3>
<p>There’s a place here for every kind of brilliant.
Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own.

<a href="https://www.apple.com/jobs/us">Learn more about working at Apple.</a>
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Apple Inc

Data Scientist, AI/ML Model Quality

We are seeking a Senior Data Scientist to lead the design, development, and deployment of Artificial Intelligence (AI), Generative AI, Agentic AI, and advanced analytics solutions that accelerate digital transformation across Manufacturing, Quality, Supply Chain, Engineering, R&D, and Corporate functions. Design, develop, and deploy enterprise AI solutions using Large Language Models (LLMs), Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) architectures.

<p>For 50 years, Entegris has been a provider of critical products and materials used in advanced high-technology manufacturing. These products and materials are often used to make the building blocks of many of the world's most complex microelectronic products, such as computers, mobile devices and phones, data storage components, televisions and monitors, and automobiles</p>

Entegris Inc

Senior Data Scientist

Performance Tracking: Build dashboards and reports to monitor key retention metrics like churn rate, retention rate, and lifetime value. Responsibilities: Predictive Modeling: Build machine learning models to forecast customer churn and identify cross-sell or upsell opportunities.

Vdart Inc

Data scientist

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Bellevue, WA, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).

Google LLC

Data Scientist, Research Intern, PhD, Summer 2027

Create statistical (or ML) models to understand human variation in populationsMS +3 years of experience or PhD in an analytical field such as (but not limited to) Quantitive Social Sciences (Sociology, Education, Economics, Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science. Apple is currently seeking an enthusiastic team player to join a dynamic and collaborative group as a demographic data scientist focusing on human populations using statistics, computer programming, and machine learning within a human factors design team.

Demographic Data Scientist

You will work with computer scientists, software developers, engineers, product managers, customer-facing teams, and end users to build, validate, deploy, and support analytics solutions that solve real customer problems and create measurable business value. For candidates in USA: Bachelor's degree from an accredited college or university (Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative or technical discipline) with a minimum of 3 years experience in data analytics, data science, advanced analytics, or a related technical field.

GE Aerospace

ea_via_bold

You will work from telemetry, manufacturing, inventory, field-return, and unstructured support data (tickets, chats, images) through production pipelines and deployed models, put scores into the workflows that drive replacements and support decisions, and build LLM-backed tools - retrieval, tool calling, and agentic workflows - that engineers and operators run. As a Full-stack Data Scientist on the Starlink Reliability team, you will build the data pipelines, models, and production scoring systems that improve the reliability of Starlink customer hardware (dishes, routers, power supplies, cables).

Space Exploration Technologies

Full-Stack Data Scientist, Hardware Reliability (Starlink)

You will work from telemetry, manufacturing, inventory, field-return, and unstructured support data (tickets, chats, images) through production pipelines and deployed models, put scores into the workflows that drive replacements and support decisions, and build LLM-backed tools — retrieval, tool calling, and agentic workflows — that engineers and operators run. As a Full-stack Data Scientist on the Starlink Reliability team, you will build the data pipelines, models, and production scoring systems that improve the reliability of Starlink customer hardware (dishes, routers, power supplies, cables).

SpaceX

The AI Systems team within HP Workforce Experience Platform team is seeking a forward-thinking Data Scientist who is passionate about driving innovation at scale, solving real-world customer issues through AI/ML and delivering stellar customer experiences using one of the largest data lakes in the world. The HP Workforce Experience Platform team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning.

Principal Data Scientist

This is a builder role: you’ll design data models, run experiments, build predictive models, help define how we evaluate AI systems in production, and build internal AI tools that help teams across the company understand and act on data. As a Senior Data Scientist, you’ll: Architect domain-level AI reinvention: identify the highest-leverage AI opportunities in how we measure and act on data, secure the resources to test them, and install repeatable mechanisms that lock in proven gains across several teams.

BetterUp

Our team is dedicated to advancing the future of autonomous driving technology by developing the metrics and evaluation frameworks that ensure the safety, performance, and readiness of self-driving systems. We work closely with engineering teams to analyze real-world and simulated driving data, enabling data-driven decisions that accelerate the commercialization of autonomous vehicles.

Avride

Data Scientist – AV Metrics & Evaluation Analytics

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Join our US Supply Chain & Network Operations Offering, where you'll deliver transformational solutions using operational expertise, digital technologies, advanced analytics, and industry-specific hybrid solutions.

Deloitte Touche Tohmatsu Ltd

Supply Chain Optimization Data Scientist Manager

Supply Chain Optimization Data Scientist Senior Consultant

Doctorate in Data Science, Mathematics, Statistics, Computer Science, Machine Learning, Bioinformatics, Mathematical Finances, Information Systems, Operations Research, Economics, Physics Economics, Physics, or related field AND 4 years of experience in data science, machine learning, data engineering, or related field. Bachelor''s Degree in Data Science, Mathematics, Statistics, Computer Science, Machine Learning, Bioinformatics, Mathematical Finances, Information Systems, Operations Research, Economics, Physics, or related field AND 7 years of experience in data science, machine learning, data engineering, or related field.

For over three decades, Oracle has been the center of innovation for business software birthplace of the first commercially available relational database, the first suite of internet-based applications, and the next-generation enterprise-computing platform, Oracle Fusion. Today, Oracle provides the world's most complete, open, and integrated business software and hardware systems, with more than 370,000 customers including - 100 of the Fortune 100 - representing a variety of sizes and industries in more than 145 countries around the globe. And Oracle's 110,000 global employees - including 30,000 developers working full-time on Oracle products -are critical to that success.
Oracle Supports Workforce Diversity

Oracle Corp

Principal Data Scientist - Supply Chain Operations

OTHER

As part of our team, you will collaborate with cross-functional teams to optimize revenue, improve operations, and empower sales and marketing professionals by leveraging data-driven solutions and AI to minimize manual tasks, enabling them to focus more efficiently on selling products. This role combines statistical expertise, machine learning, and cutting-edge generative models to deliver actionable insights that drive strategic decisions across multiple business areas.

Data Scientist Jobs in Austin, TX

Data Scientist 1 PROLIM Global Corporation

Staff Data Scientist Deere & Co

Senior Data Scientist, ML- Fraud Prevention ADOBE Inc

Sr. Data Scientist Planview, Inc.

Data Scientist Planview, Inc.

Data Scientist, AI/ML Model Quality Apple Inc

Senior Data Scientist Entegris Inc

Data scientist Vdart Inc

Data Scientist, Research Intern, PhD, Summer 2027 Google LLC

Demographic Data Scientist Apple Inc

Senior Data Scientist GE Aerospace

Full-Stack Data Scientist, Hardware Reliability (Starlink) Space Exploration Technologies

Full-Stack Data Scientist, Hardware Reliability (Starlink) SpaceX

Principal Data Scientist HP

Senior Data Scientist BetterUp

Data Scientist – AV Metrics & Evaluation Analytics Avride

Supply Chain Optimization Data Scientist Manager Deloitte Touche Tohmatsu Ltd

Supply Chain Optimization Data Scientist Senior Consultant Deloitte Touche Tohmatsu Ltd

Principal Data Scientist - Supply Chain Operations Oracle Corp

Data Scientist (Sales Operations) Advanced Micro Devices, Inc

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