UNKNOWN

FEED

This is an outstanding opportunity for an experienced consulting professional to guide complex capital projects from concept through execution while supporting investments across the oil and gas, LNG, power, renewable energy, low carbon, and broader energy transition sectors. You will also play a key role in expanding ERM's presence within the Diversified Energy sector by managing high-profile projects, supporting business growth, and collaborating with experts across ERM's national Low Carbon Energy Transition (LCET) network.

ERM International Group Ltd

Managing Consultant, Scientist (Project Manager)

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The Principal NLP Scientist will work closely with software engineers, data engineers, product managers, analysts, and data annotation teams to define, build, evaluate, and continuously improve NLP models and language-based automation systems. The Principal NLP Scientist is a senior technical leader responsible for designing, researching, and improving advanced Natural Language Processing and Large Language Model capabilities for production business systems.

Sourceability

Principal NLP Scientist

GreenHouseAPI

Cross-Functional Networking: Build networks and collaborate deeply with key contacts outside your immediate area of expertise, including senior leaders in Data Engineering, Product Management, and Business Operations, to drive the adoption of data science solutions. Netspend provides prepaid and debit account solutions that connect customers with secure, convenient access to global payment networks so they can manage their money and make everyday purchases.

Netspend

Lead Data Scientist

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This role communicates and presents clinical trends and findings to the Study Team and Clients while working collaboratively to ensure high quality data, maintain the highest integrity of the clinical database and clinical study reports (e.g., CSR). What the Clinical Scientist does at Worldwide: The Clinical Scientist is responsible for the review, interpretation, and assessment of oncology clinical data specifically solid tumor data with key findings communicated to Clients and study team.

YEAR

Worldwide Clinical Trials Holdings Inc

Clinical Scientist

We are seeking an experienced machine learning scientist to develop advanced post-training quantization methods for large language models (LLMs), diffusion models, and other ML applications for our revolutionary optical inference engines. Participants include M12 (Microsoft’s Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others.

Neurophos

Senior/Staff Applied Scientist, Numerical Optimization & Quantization

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

Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Allocation & Distribution Optimization: Formulate lead distribution as a constrained optimization problem across clients, products, and geographies, using methods such as mixed-integer programming and stochastic optimization, and move the business from rules-based allocation toward optimized allocation.

Realtor.com

Staff Data Scientist - Lead Intelligence

FULL_TIME

Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Allocation & Distribution Optimization: Formulate lead distribution as a constrained optimization problem across clients, products, and geographies, using methods such as mixed-integer programming and stochastic optimization, and move the business from rules-based allocation toward optimized allocation.

Staff Data Scientist, Lead Intelligence

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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. Demonstrated ability to work independently and with sensitive and confidential information, maintain a professional demeanor, work as a team member with and without daily supervision, work several overlapping projects over a short period of time, ability to work within an environment with rapidly changing priorities, and effectively communicate with all groups of clients.

The University of Texas at Austin

Naval Special Warfare Mechanical Engineering Scientist Associate

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

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

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

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

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 Lender

Staff Data Scientist

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, Inc.

Key Responsibilities: Machine Learning & Generative AI Development (core focus): Design and develop Machine Learning and Generative AI solutions for complex business problems, applying statistical analysis, data mining, and machine learning techniques. Actual salaries depend on a 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.

BMC Software Inc

Data Scientist III

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. You will work directly on projects that impact our customers and will help us prioritize the most significant improvements to our products with their convenience and trust in mind.

Wise Plc

Graduate Data Scientist

Support the development and implementation of data-driven solutions, with a focus on large language models (LLMs) and AI, to address business problems in Global Affairs, including providing trusted advice to policymakers, building an industry-leading regulatory and compliance system, and protecting our ability to provide high-quality products. Work with cross-functional teams to address AI/ML challenges and opportunities, specifically leveraging LLMs for text analysis and knowledge extraction, and translating business needs into actionable analyses and evaluation metrics.

Google LLC

Business and Marketing Data Scientist II

Continuous Improvement: -Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solution Identification: -Independently collaborates with science, engineering, and product teams to identify business and product needs to create and implement solutions, promote innovation, and drive model implementations.

Principal Applied Scientist

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Preferred qualifications: 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Product Development Scientist Jobs in Austin, TX

Managing Consultant, Scientist (Project Manager) ERM International Group Ltd

Principal NLP Scientist Sourceability

Lead Data Scientist Netspend

Clinical Scientist Worldwide Clinical Trials Holdings Inc

Senior/Staff Applied Scientist, Numerical Optimization & Quantization Neurophos

Sr. Data Scientist Planview, Inc.

Staff Data Scientist - Lead Intelligence Realtor.com

Staff Data Scientist, Lead Intelligence Realtor.com

Naval Special Warfare Mechanical Engineering Scientist Associate The University of Texas at Austin

Senior Data Scientist Harbor Health Team Inc

Data Scientist 1 PROLIM Global Corporation

Research Scientist Research Engineer Inference Systems Bitdeer Technologies Group

Principal Data Scientist - Supply Chain Operations Oracle Corp

Staff Data Scientist Self Lender

Staff Data Scientist Self Financial, Inc.

Data Scientist III BMC Software Inc

Graduate Data Scientist Wise Plc

Business and Marketing Data Scientist II Google LLC

Principal Applied Scientist Oracle Corp

Senior Business Data Scientist, Trust and Safety Business Analytics Google LLC

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