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Applied Scientist Jobs (NOW HIRING)

Grid

Applied Scientist

Seattle, WA · On-site

$120K - $140K/yr

The role We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with ...

Grid

Applied Scientist

Seattle, WA

$120K - $140K/yr

The role We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with ...

Apptad, Inc.

Applied scientist

Applied scientist JD Role Overview: We are hiring Applied Scientists (1 Lead + 2 ICs) to design, build, and optimise GenAI-driven multi-modal pipelines for detecting contextual moments in live video ...

Apple

Applied Scientist

Austin, TX · On-site

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 ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

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 ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

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 ...

Garner Health

Staff Applied Scientist

New York, NY · Hybrid

Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions - Which doctor should I see? What will it ...

Grid

Staff Applied Scientist

Seattle, WA

$150K - $220K/yr

The role We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with ...

Garner Health

Staff Applied Scientist

New York, NY · Hybrid

Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions -- Which doctor should I see? What will it ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions - Which doctor should I see? What will it ...

Grid

Staff Applied Scientist

Seattle, WA

$150K - $220K/yr

The role We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with ...

Microsoft

Applied Scientist

Redmond, WA · On-site

Overview The Copilot Search Multimedia Index Selection team is looking for a Data and Applied Scientist II to help build the next generation platform for Bing and Microsoft AI.Our mission is to ...

Clipboard Health

Applied Scientist

San Francisco, CA · On-site

$160K - $225K/yr

About the Role We're building a new team, Applied Science, and we're looking for our first outside hire. Clipboard is a Sequoia-backed marketplace connecting nurses and healthcare professionals with ...

Upstart

Applied Scientist

As an Applied Scientist, you will research and implement enhancements to Upstart's core unsecured underwriting model. Your work will directly influence credit decisioning and help the team increase ...

Waabi

Applied Scientist

$128K - $184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the ...

Waabi

Applied Scientist

San Francisco, CA · On-site +1

$128K - $184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the ...

Waabi

Applied Scientist

Pittsburgh, PA · On-site +1

$128K - $184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the ...

Garner Health

Staff Applied Scientist

New York, NY

$260K - $382K/yr

About the role We are seeking an exceptional Staff Applied Researcher to join our Applied Science team. You will be responsible for building the algorithmic systems that power Garner - determining ...

Waabi

Applied Scientist

San Francisco, CA · On-site +1

$128K - $184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the ...

Waabi

Applied Scientist

San Francisco, CA · On-site +1

$128K - $184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the ...

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Applied Scientist information

See salary details

$115.5K

$173.1K

$209K

How much do applied scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for applied scientist in the United States is $173,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,000.00 and $196,500.00 per year, depending on experience, location, and employer.

What does an applied scientist do?

An Applied Scientist uses scientific principles, data analysis, and machine learning techniques to solve real-world problems. They work on developing models, conducting experiments, and deploying data-driven solutions in various industries such as technology, healthcare, and finance. Their role often involves collaborating with engineers and product teams to integrate research findings into practical applications. Strong programming skills, statistical knowledge, and domain expertise are essential for success in this field.

What are the key skills and qualifications needed to thrive as an applied scientist?

To thrive as an Applied Scientist, you need a solid background in mathematics, statistics, data analysis, and programming, usually supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, machine learning frameworks, and tools such as TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaborative skills, and effective communication help you stand out in this role. These skills and qualities are vital for developing innovative solutions, interpreting complex data, and effectively conveying insights to both technical and non-technical stakeholders.

Do you need a PhD to be an Applied Scientist?

A PhD is not strictly required to become an Applied Scientist, but many roles prefer candidates with advanced degrees in fields like computer science, machine learning, or data science. Relevant skills, experience, and proficiency with tools such as Python, TensorFlow, or cloud platforms are often more important for hiring decisions.

How much does an applied scientist make?

Applied scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, data analysis, or programming may have higher compensation, often exceeding $180,000 per year.

What is the job of an applied scientist?

An applied scientist conducts research to develop practical solutions by applying scientific principles, often in fields like machine learning, data analysis, or engineering. They design experiments, analyze data, and create models or algorithms to solve real-world problems, frequently using tools like programming languages and statistical software.
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Applied Scientist jobs near you
Infographic showing various Applied Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $173,084 per year, or $83.2 per hour.

Applied Scientist

Grid

Seattle, WA • On-site

$120K - $140K/yr

Full-time

Posted 21 days ago

Job description

About us
Today’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.
 
Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office!
 
The role
We’re adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business—as well as our users' happiness and success.
 
Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more.
 
The team
We're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth.
 
As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice.
 
The tech stack
Our backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.
What you'll do
  • Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources
  • Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc.
  • Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance
  • Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products
  • Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth
  • Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at Grid
What we're looking for:
  • Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science.
  • Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models.
  • Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields.
  • Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential.
  • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products.
  • Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it.
  • Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest).
  • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.
  • Domain Knowledge: Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products.
Benefits
Medical
Dental
Vision
401K
Life Insurance
 
Salary Range
$120,000 - $140,000 per year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.