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Engineer end-to-end scalable and robust Causal Inference products which provide Apple with an understanding of the health of our Services' marketing efforts Dive deep into large-scale data sources to uncover opportunities for Causal Inference automation, predictive methods, and quantitative modeling Collaborate with product managers, data scientists, and other engineering teams to translate business requirements into technical specifications and deliver impactful, practical solutions, increasing internal adoption of causal inference approaches and democratizing data Stay abreast of the latest advancements in causal inference and AIML research, evaluating and integrating new frameworks where appropriate Champion best practices in software engineering, MLOps, code quality, testing, documentation, and ensure compliance with data privacy and securityMaster's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression discontinuity design, interrupted time series, and propensity score matching Hands-on experience building Marketing Mix models and validation through Matched Market testing Solid understanding of AIML technologies including Generative AI Proven track record of successfully delivering complex projects from start to finish Proficiency in programming languages such as Python, R, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices Excellent communication, collaboration, and presentation skills with meticulous attention to detailPhD in related field Hands-on experience leveraging Generative AI to improve productivity and generate new insights Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action. We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation.

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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

Applied Scientist

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This is a hands-on technical leadership role for an experienced data scientist who can translate ambiguous business problems into scalable, production-ready models that drive measurable impact. Benefits: Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares.

YEAR

PEMCO Mutual Insurance Company

Principal Data and AI Scientist

This individual will leverage the organization's enterprise data environment, including Epic (EHR), VBA (TPA), Microsoft Azure (cloud infrastructure), Snowflake (cloud data platform), and numerous other data sources including clinical and business applications and our local health data utility (HDU formerly HIE), to develop and operationalize scalable, high-impact data science solutions. Operating under the general guidance of the VP of Data Insights & Innovation, this role leads and manages the organization's Data Science team while serving as the primary data science authority within the organization, providing expert guidance on scientific rigor, validity, and equity of analytical and AI solutions.

CommUnityCare Health Centers

Principal Data Scientist

Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long-term wealth, including: A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features. Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax-loss harvesting, and direct indexing-which we offer at industry-leading low costs and accessible minimums.

Wealthfront

Senior Data Scientist, Home Lending

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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.

HP Inc

However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers.

The University of Texas at Austin

Robotics and Mechanical Design Engineering Scientist

Database Engineering Scientist

OTHER

We turn deep knowledge of our data into models that are deployed in production, and we work closely with Risk, Finance, Product, and Engineering to improve how we underwrite, price, and manage our customers’ credit. Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings.

Self Financial

Data Scientist

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What you will experience working with us: A culture that values authenticity and diversity of thoughts and backgrounds; An inclusive and respectable environment with open workspaces and exciting start-up spirit; Fast-growing company with the chance to network with industrial pioneers and enthusiasts; Ability to contribute directly and make an impact on the future of the digital asset industry; Involvement in new projects, developing processes/systems; Personal accountability, autonomy, fast growth, and learning opportunities; Attractive welfare benefits and developmental opportunities such as training and mentoring. You will follow the frontier of inference systems research, decide what matters for our workloads, and build it into our serving stack as measured, system-level improvements, designing new approaches where existing ones fall short.

Bitdeer Technologies Group

Research Scientist Research Engineer Inference Systems

Analytical and data-driven: Thinks analytically; a structured thinker who can put complex ideas into clear frameworks; uses data to conduct root cause analysis and develops high quality, consumable, and consistent metrics that drive strategic objectives and priorities is required. Why We Need You: The Senior Data Scientist - Actuarial position is responsible for conducting complex actuarial and predictive analysis to support product development, rating, reserving, process improvements and system changes for PEMCO.

Senior Data Scientist - Actuarial

We are hiring Senior Data Scientists to own whole problem areas, not slices of someone else's project: you define the questions that matter, build the analysis or model, put it in front of the people who act on it, and stay with it until the result is in use. Risk adjustment (HHS-HCC, CMS-HCC, RAF, EDGE, RADV), medical economics (PMPM, utilization, cost trend) or actuarial-adjacent work.

Harbor Health Team Inc

Senior Data Scientist

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

<b>DO WHAT YOU LOVE</b><br />  Make your mark on the world’s most used technologies. Develop the next hit mobile application. Pioneer a startup that could be the next big thing. At Microsoft, you choose your path. <br /><br />  Headquartered in Redmond, Washington, Microsoft is a top innovator in both the consumer and enterprise technology industry. Just a few of the many things our products do are unleash creativity, connect businesses, and make learning more fun. But our continued success is based on one thing: our employees. We hire amazing, talented people and give them the opportunities—and the tools—to succeed.  <br /><br /> <strong>WHY MICROSOFT?</strong> <br />  As a Microsoft employee, you’re surrounded by a diverse group of the smartest people in your field. This fosters new ideas, better business results, and creates a dynamic work environment. In the office, you’re constantly challenged and supported by your colleagues. Every day holds something new and exciting.  <br /><br />  We also offer unparalleled depth and breadth of career opportunities. As an industry leader in multiple fields, working for Microsoft means being able to do whatever you feel passionate about—and being able to make an impact in that field. From day one, we give our employees significant responsibility. This means that you’ll know that you directly contributed to something that has a positive impact on people worldwide. Whether you choose to work in management, dive deep into the newest technology, or explore multiple professions, you’ll find everything you need at Microsoft to drive your career—and to make a difference. <br /><br /> <strong>WE GET IT – YOU’RE MORE THAN YOUR JOB</strong> <br />  Everyone works differently and is motivated by different things. We also understand that there’s more to you than your job. That’s why we offer competitive pay and a wide assortment of benefits-- to help you make the most of life at work and away from it. <br /><br /> <strong>GET THE BALL ROLLING</strong><br />

Microsoft Corp

Senior Data Scientist - FDE

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.

Planview, Inc.

As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.

<p>PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients—like you—never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.</p>

<p>PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy,  human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.</p>

<p>Let’s combine your ​aspirations with our world-class capabilities to achieve your goals.</p>

PricewaterhouseCoopers LLP

AI & GenAI Data Scientist-Director

AI & Genai Data Scientist-Director

DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. The Principal Machine Learning Research Scientist helps lead and shape the strategic direction of DISCO’s machine learning and AI research initiatives.

DISCO

Principal Machine Learning Scientist

We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems.

webAI

AI Research Scientist

If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members.

<p>Applied Materials (Nasdaq: AMAT) is the leader in Materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. To support customers around the world, Applied Materials employs approximately 22,000 people in over 100 locations in 18 countries.</p> 




Applied Materials Inc

Summer 2027 Data Scientist Intern -Bachelor''''s (Austin, TX)

Collaborate with geographically distributed cross-functional teams to understand project requirements and assist in implementing ML/AI solutions that support molecular design efforts such as protein and binder design, mRNA optimization, antibody optimization, etc at various operating companies or across the enterprise. Deep understanding of protein structure prediction and design algorithms, with demonstrated experience modifying, extending, or improving implementations of tools such as Chai-1, Boltz-2, BindCraft, BoltzGen, Mosaic, or Proteina Complexa.

Danaher is a global science & technology innovator committed to helping our customers solve complex challenges and improve quality of life worldwide. Our world class brands are leaders in some of the most demanding and attractive industries, including life sciences, medical diagnostics, dental, environmental and applied solutions. Our globally diverse team of 71,000 associates is united by a common culture and operating system, the Danaher Business System, which serves as our competitive advantage. We generated $19.9B in revenue last year. We are ranked #162 on the Fortune 500 and our stock has outperformed the S&P 500 by more than 5,200% over 25 years.
At Danaher, you can build a career in a way no other company can duplicate. Our brands allow us to offer dynamic careers across multiple industries. We're innovative, fast-paced, results-oriented, and we win. We need talented people to keep winning. Here you'll learn how DBS is used to shape strategy, focus execution, align our people, and create value for customers and shareholders. Come join our winning team.
Danaher is committed to competitive compensation that typically has key components including base salary, variable annual incentive compensation based on personal and company performance, and long-term incentive.

Project Scientist Jobs in Austin, TX

Applied Scientist Apple Inc

Principal Data and AI Scientist PEMCO Mutual Insurance Company

Principal Data Scientist CommUnityCare Health Centers

Senior Data Scientist, Home Lending Wealthfront

Principal Data Scientist HP Inc

Robotics and Mechanical Design Engineering Scientist The University of Texas at Austin

Database Engineering Scientist The University of Texas at Austin

Data Scientist Self Financial

Research Scientist Research Engineer Inference Systems Bitdeer Technologies Group

Senior Data Scientist - Actuarial PEMCO Mutual Insurance Company

Senior Data Scientist Harbor Health Team Inc

Senior Data Scientist - FDE Microsoft Corp

Data Scientist Planview, Inc.

AI & GenAI Data Scientist-Director PricewaterhouseCoopers LLP

AI & Genai Data Scientist-Director PwC

Principal Machine Learning Scientist DISCO

AI Research Scientist webAI

Summer 2027 Data Scientist Intern -Bachelor''''s (Austin, TX) Applied Materials Inc

AI Scientist - AI Molecular Design Danaher Corp

Summer 2027 Data Scientist Intern -Bachelor's (Austin, TX) Applied Materials

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