Principal Data Scientist

Principal Data Scientist - AI Foundations, Specialist Models

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean; San Jose; New York

Salary:

161800.00 - 201400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to build a next-generation entity resolution solution
Leverage a broad stack of technologies — Python, AWS, Spark, modern state of the art models like transformers, graph ML, and more
Build machine learning models through all phases of development
Leverage Agentic AI tools and workflows to build and test
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Principal Data Scientist – AI & Machine Learning

We’re partnering with a highly respected, data driven organisation in the altern...

Location

United Kingdom , London

Salary:

100000.00 - 125000.00 GBP / Year

Myn

Expiration Date

Until further notice

Requirements

6–12 years’ experience in data science, currently operating at Principal level
Strong grounding in machine learning fundamentals (supervised learning essential)
Proven experience delivering production-grade ML solutions
Strong Python and SQL skills
Experience with experimentation and data-driven decision making
Ability to operate as a hands-on technical leader (not pure management)
Advanced degree (Master’s or PhD) in a quantitative field

Job Responsibility

Design, build, and deploy machine learning models (prediction, classification)
Own delivery of data science solutions from problem definition to production
Lead experimentation and A/B testing to drive continuous improvement
Collaborate cross functionally with product, engineering, and commercial teams
Mentor and elevate a high-performing team of data scientists and ML engineers
Contribute to AI strategy, including developments in generative AI

What we offer

10% discretionary bonus
equity scheme

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Waltham

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Denver

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Los Angeles

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , North Bethesda

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Lexington

Salary:

Not provided

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

Microsoft is a company where passionate innovators come to collaborate, envision...

Location

United States , Multiple Locations

Salary:

142800.00 - 304200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience

Job Responsibility

Defines quota-setting strategy aligned with business, customer, and solution objectives
Partners cross-functionally to identify and pursue opportunities for applying machine learning and other data-science methods to quota and incentive design
Bridges Finance, Sales, Business Sales Operations, and Product teams through deep technical expertise
Drives cross-discipline collaboration and leads efforts to refine intellectual property definitions and methodology improvements
Educates field managers and sales leaders on quota methodology, data inputs, and model mechanics through roadshows, workshops, and ongoing enablement
Applies deep domain expertise to analyze challenges across product lines, identifying and mitigating risks that could influence quota outcomes
Partners with business stakeholders to shape strategy, recommend improvements, and surface opportunities to extend existing work into new contexts
Establishes and promotes standards and best practices across teams
Writes efficient, readable, and extensible code and models spanning multiple features and solutions
Contributes to code and model reviews with actionable feedback

Fulltime

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