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Principal Applied Scientist Jobs (NOW HIRING)

NextDeavor Inc.

Principal Applied Scientist

New York, NY · On-site

$200K - $250K/yr

Principal Applied Scientist Full-time New York City, NY, US Exclusive confidential search -- details shared with qualified applicants. Benefits You'll Love * Top-tier medical, dental, and vision ...

Relativity

Principal Applied Scientist

Seattle, WA · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Bridgeport, CT · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Charlotte, NC · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

New York, NY · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Kansas City, MO · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Minneapolis, MN · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Washington, DC · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Manhattan, NY · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Las Vegas, NV · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Chicago, IL · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Houston, TX · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Nashville, TN · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Phoenix, AZ · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Billings, MT · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

Relativity

Principal Applied Scientist

Newark, NJ · On-site +1

... Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend ...

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Principal Applied Scientist information

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$68.5K

$144K

$190.5K

How much do principal applied scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for principal applied scientist in the United States is $144,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $169,000.00 per year, depending on experience, location, and employer.

How does a Principal Applied Scientist typically collaborate with cross-functional teams in a tech organization?

Principal Applied Scientists often work closely with data engineers, product managers, and software developers to translate business objectives into innovative machine learning solutions. They are usually responsible for guiding technical direction, mentoring junior scientists, and ensuring that research prototypes are scalable for production. Regular collaboration involves participating in strategy meetings, code reviews, and presenting research findings to both technical and non-technical stakeholders. Effective communication and leadership skills are crucial for aligning scientific advancements with broader organizational goals.

What are Principal Applied Scientists?

Principal Applied Scientists are senior-level experts who lead the development and application of advanced scientific and analytical techniques to solve complex real-world problems. They often work in industries such as technology, healthcare, or engineering, using their expertise in areas like machine learning, data science, or physics. In addition to conducting research, Principal Applied Scientists guide project teams, mentor junior scientists, and help shape the strategic direction of scientific initiatives within an organization.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Principal Applied Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as expertise in algorithms, data analysis, and programming. Salaries can vary based on experience, location, and company size but tend to be above average compared to many other technical roles.

What is a principal applied scientist?

A principal applied scientist is a senior research professional responsible for leading advanced scientific projects, developing innovative solutions, and applying scientific methods to real-world problems. They often have expertise in data analysis, machine learning, or engineering, and may oversee teams or collaborate across departments to drive technological advancements.

What is the salary of principal applied scientist in Google?

The salary of a Principal Applied Scientist at Google typically ranges from $180,000 to $250,000 annually, depending on experience, location, and performance. Compensation may also include bonuses, stock options, and other benefits common in tech industry roles.

What is the difference between Principal Applied Scientist vs Senior Data Scientist?

AspectPrincipal Applied ScientistSenior Data Scientist
Required CredentialsAdvanced degrees (PhD or Master’s), extensive experience in applied researchTypically a Master’s or PhD, strong analytical skills, less emphasis on applied research leadership
Work EnvironmentResearch-focused, leadership in projects, cross-functional collaborationData analysis, model development, supporting business decisions
Employer & Industry UsageTech companies, R&D departments, AI/ML teamsTech firms, finance, healthcare, more operational roles

The Principal Applied Scientist is a senior role emphasizing leadership in applied research and innovation, often requiring advanced degrees and extensive experience. In contrast, a Senior Data Scientist focuses more on data analysis and model building with less emphasis on research leadership. Both roles are common in tech and industry settings, but the Principal Applied Scientist typically leads projects and guides research strategies.

What are the key skills and qualifications needed to thrive as a Principal Applied Scientist, and why are they important?

To thrive as a Principal Applied Scientist, you need deep expertise in data science, statistical modeling, machine learning, and typically a PhD or advanced degree in a quantitative field. Proficiency with programming languages like Python or R, cloud platforms, and frameworks such as TensorFlow or PyTorch is commonly required. Exceptional problem-solving abilities, leadership, and the capacity to communicate complex concepts to diverse stakeholders distinguish top performers in this role. These skills are crucial for driving innovation, leading technical teams, and delivering impactful solutions to complex business challenges.

How much does a principal applied scientist make at Amazon?

A principal applied scientist at Amazon typically earns between $150,000 and $200,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on experience, location, and specific team responsibilities.
More about Principal Applied Scientist jobs
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What job categories do people searching Principal Applied Scientist jobs look for? The top searched job categories for Principal Applied Scientist jobs are:
Principal Applied Scientist jobs near you
Principal Applied Scientist

Principal Applied Scientist

NextDeavor Inc.

New York, NY • On-site

$200K - $250K/yr

Contractor

Medical, Dental, Vision, Retirement

Posted 5 days ago

Be an early applicant

Job description

Principal Applied Scientist
Full-time
New York City, NY, US
Exclusive confidential search — details shared with qualified applicants.
Benefits You'll Love
  • Top-tier medical, dental, and vision coverage
  • 401(k)
Become a Key Player as a Principal Applied Scientist

You will own the deterministic enforcement layer that guarantees compliance before AI messages are sent, driving accuracy, cost, and latency tradeoffs. You will work as the senior individual contributor on this layer, collaborating directly with the founder and backend engineers to define technical direction. Hybrid (3 days onsite) in the New York City area.

Here's How You'll Make an Impact on the Team
  • Own the deterministic detection and enforcement layer end to end: rule system, retrieval, matching logic, and production runtime
  • Build the evaluation harness and labeled-data flywheel to demonstrate and improve accuracy
  • Measure and optimize precision, recall, cost, and latency, and balance tradeoffs between them
  • Define architecture direction for the deterministic layer alongside model and retrieval components
  • Translate plain-language policy and regulation into deterministic rules and own the reasoning behind each decision
  • Adapt rules to customer-specific policies, including per-tenant configuration
  • Run tight error analysis on missed violations and false alarms to improve trust and performance
Here's What You'll Need to Be Successful in This Role
  • 8+ years in applied ML, NLP, or high-accuracy detection systems with shipped production work
  • Hands-on experience in information retrieval, entity recognition, pattern and rule design, and rigorous evaluation
  • Proven judgment as a senior individual contributor who sets technical direction
  • Strong instincts for when deterministic rules outperform models and how to push precision and recall
  • Bias for shipping and for measuring outcomes of what you ship
Here's What Else Might Help You Out
  • Experience in compliance, regtech, or other regulated domains
  • Building high-precision/high-recall detection or classification systems (fraud, security, content moderation, etc.)
  • Experience adapting a rule system to many customers (per-tenant policy/configuration)
  • Experience combining deterministic and model-based components in production
  • Public research, open source contributions, or technical writing
Pay Range

$200-$250K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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