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Applied Scientist Jobs (NOW HIRING)

Grid

Applied Scientist

Seattle, WA

$120K - $200K/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 - $200K/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 ...

Amazon

Applied Scientist

Seattle, WA · On-site

Are you a MS or PhD student interested in a 2024 Applied Science Internship in the fields of Speech, Robotics, Computer Vision, or Machine Learning/Deep Learning? Do you enjoy diving deep into hard ...

Amazon

Applied Scientist

Seattle, WA · On-site

Are you a MS or PhD student interested in a 2024 Applied Science Internship in the fields of Speech, Robotics, Computer Vision, or Machine Learning/Deep Learning? Do you enjoy diving deep into hard ...

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 ...

Amazon

Applied Scientist

Seattle, WA · On-site

Are you a MS or PhD student interested in a 2024 Applied Science Internship in the fields of Speech, Robotics, Computer Vision, or Machine Learning/Deep Learning? Do you enjoy diving deep into hard ...

Relativity

Principal Applied Scientist

Kansas City, MO · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

New York, NY · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Minneapolis, MN · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Billings, MT · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Newark, NJ · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Washington, DC · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Manhattan, NY · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Denver, CO · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Washington, DC · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Detroit, MI · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Columbus, OH · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Milwaukee, WI · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

Relativity

Principal Applied Scientist

Indianapolis, IN · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity ...

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Applied Scientist information

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$115.5K

$173.1K

$209K

How much do applied scientist jobs pay per year?

As of Jun 7, 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 typical projects or responsibilities handled by an Applied Scientist on a daily basis?

Applied Scientists often work on designing, developing, and deploying machine learning models or algorithms to solve real-world business problems. Their daily tasks may include data exploration, model prototyping, performance evaluation, and collaborating with cross-functional teams such as software engineers or product managers. The role also involves presenting findings to stakeholders and iterating on solutions based on feedback and new data. This mix of research, practical application, and teamwork keeps the work varied, intellectually stimulating, and highly impactful within an organization.

What are the key skills and qualifications needed to thrive in the Applied Scientist position, and why are they important?

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.

More about Applied Scientist jobs
What cities are hiring for Applied Scientist jobs? Cities with the most Applied Scientist job openings:
What are the most commonly searched types of Applied Scientist jobs? The most popular types of Applied Scientist jobs are:
What states have the most Applied Scientist jobs? States with the most job openings for Applied Scientist jobs include:
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Applied Scientist jobs near you
Infographic showing various Applied Scientist job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $173,084 per year, or $83.2 per hour.
Applied Scientist

Applied Scientist

Grid

Seattle, WA

$120K - $200K/yr

Full-time

Posted 18 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 - $200,000 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. 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.