Data Scientist Jobs at Scale AI with Visa Sponsorship
Scale AI hires Data Scientists to build the data pipelines and evaluation systems that train frontier AI models. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B, E-3, and OPT pathways from offer through filing.
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Get Access To All JobsINTRODUCTION
At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME’s Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health.
ROLE AND RESPONSIBILITIES
Responsibilities:
- Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers.
- Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models.
- End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation.
- Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation.
- Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy.
- Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems.
- Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology.
BASIC QUALIFICATIONS
- 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis).
- Proven track record of shipping high-quality data products, models, or features at scale.
- Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions.
- Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets.
- Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI.
- Excited to join a dynamic, hybrid team in either San Francisco or New York City.
PREFERRED QUALIFICATIONS
- Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant).
- Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems.
- Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray).
- Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling.
- Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery).
COMPENSATION
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $198,000—$247,500 USD
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
INTRODUCTION
At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME’s Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health.
ROLE AND RESPONSIBILITIES
Responsibilities:
- Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers.
- Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models.
- End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle—from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation.
- Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation.
- Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy.
- Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems.
- Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology.
BASIC QUALIFICATIONS
- 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis).
- Proven track record of shipping high-quality data products, models, or features at scale.
- Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions.
- Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets.
- Ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI.
- Excited to join a dynamic, hybrid team in either San Francisco or New York City.
PREFERRED QUALIFICATIONS
- Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant).
- Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems.
- Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray).
- Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling.
- Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery).
COMPENSATION
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
LOCATION
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $198,000—$247,500 USD
About us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
See all 49+ Data Scientist at Scale AI jobs
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Get Access To All JobsTips for Finding Data Scientist Jobs at Scale AI Jobs
Frame Your ML Annotation Experience Precisely
Scale AI's Data Scientist roles often sit at the intersection of model evaluation and data labeling infrastructure. Tailor your resume to highlight experience with RLHF pipelines, benchmark dataset construction, or human feedback systems rather than generic ML modeling.
Target Roles Tied to Foundation Model Teams
Scale AI structures data science work around specific model customers and internal research initiatives. Search for openings tied to generative AI, red-teaming, or model quality rather than applying broadly to every Data Scientist listing on their careers page.
Verify Your OPT Timing Before Signing
If you're on F-1 OPT, confirm your remaining authorization window against Scale AI's typical onboarding timeline. STEM OPT extensions give you up to 24 additional months, but your employer must be E-Verify enrolled, which Scale AI is, so confirm before your start date.
Prepare a Specialty Occupation Evidence File Early
For H-1B sponsorship, USCIS requires the role to qualify as a specialty occupation requiring a directly related bachelor's degree or higher. Collect course transcripts, prior job descriptions, and published work that ties your degree field specifically to data science methodology.
Use Migrate Mate to Filter Active Scale AI Openings
Visa-sponsored Data Scientist roles at Scale AI don't always stay open long. Use Migrate Mate to filter Scale AI listings by the visa types you hold so you're applying to roles where sponsorship is already confirmed, not guessing from the job description.
Negotiate Offer Timing Around H-1B Cap Deadlines
H-1B cap-subject petitions have a fixed October 1 start date, and USCIS registration opens in March. If Scale AI extends an offer outside that window, ask whether cap-exempt filing or a start date adjustment is possible to avoid a gap in work authorization.
Data Scientist at Scale AI jobs are hiring across the US. Find yours.
Find Data Scientist at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Data Scientists?
Yes, Scale AI sponsors H-1B visas for Data Scientist roles. The company files cap-subject petitions during the annual USCIS registration period in March, with an October 1 start date if selected. For candidates already holding H-1B status with another employer, Scale AI can file an H-1B transfer, which takes effect once USCIS receives the petition.
How do I apply for Data Scientist jobs at Scale AI?
Applications go through Scale AI's careers page, where roles are listed by team and function. For visa-sponsored openings specifically, Migrate Mate filters Scale AI's active Data Scientist listings by visa type so you can confirm sponsorship eligibility before applying. Most roles require a technical screen followed by a structured data science take-home or live coding assessment.
Which visa types does Scale AI commonly sponsor for Data Scientist roles?
Scale AI sponsors H-1B, E-3, TN, and F-1 OPT and CPT for Data Scientist positions. Australian nationals can use the E-3, which has a dedicated annual allocation and no lottery. Canadian and Mexican nationals in qualifying data science roles may be eligible for TN status. Green Card sponsorship through EB-2 or EB-3 is available after an initial period of employment.
What qualifications does Scale AI expect for Data Scientist roles?
Most Data Scientist roles at Scale AI expect a bachelor's or master's degree in statistics, computer science, mathematics, or a closely related quantitative field. Practical experience with large-scale datasets, Python, and model evaluation frameworks is standard. Roles focused on RLHF or foundation model quality often expect familiarity with human feedback systems or benchmark construction on top of core data science skills.
How long does the visa sponsorship process take after a Scale AI offer?
Timeline depends on visa type. OPT transfers to a new employer are immediate if your EAD is valid. H-1B standard processing runs three to five months from filing, while premium processing with USCIS gets an adjudication decision within 15 business days. E-3 consular appointments in Australia currently range from two to six weeks depending on the consulate. Factor these timelines into your start date negotiation with Scale AI's recruiting team.
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