Explore Data & Applied Scientist Jobs

Data and applied scientists turn complex data into practical insights, predictive models, and products that help organizations make better decisions. Explore vetted opportunities on Ladders for experienced professionals seeking roles paying $100,000 or more.

What Data and Applied Scientists Do

These professionals use statistics, machine learning, experimentation, and programming to investigate real-world problems. Depending on the role, they may build predictive systems, design and evaluate experiments, develop data-driven products, or translate analytical findings into recommendations for business and technical teams.

Common Skills and Qualifications

Employers often seek experience with Python or R, SQL, statistical modeling, machine learning, data visualization, and cloud or big-data platforms. Strong communication and the ability to connect technical work to measurable outcomes are also valuable. Requirements vary by employer, industry, and seniority.

Where These Roles Work

Data and applied scientists contribute across technology, finance, healthcare, retail, consulting, and other data-intensive industries. Teams may focus on areas such as personalization, forecasting, risk, operations, product analytics, or scientific research.

Find Your Next Data Science Role

Browse Data & Applied Scientist openings on Ladders and compare opportunities by specialization, responsibilities, and experience level. Ladders focuses on vetted professional jobs paying $100,000 or more, helping you explore roles aligned with your skills and career goals.

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Frequently Asked Questions (FAQ)

What does a Data or Applied Scientist do?
A Data or Applied Scientist applies methods such as statistical analysis, machine learning, and experimentation to solve practical problems, generate insights, and support data-driven products or decisions.
What skills are commonly required for Data & Applied Scientist jobs?
Commonly requested skills include Python or R, SQL, statistics, machine learning, data visualization, and experience working with large datasets. Employers may also value communication, experimentation, and domain knowledge.
How is an applied scientist different from a data scientist?
The titles overlap and vary by employer. Applied scientists often emphasize developing and deploying methods or models to address specific product or operational problems, while data scientists may cover a broader mix of analysis, experimentation, modeling, and business insights.
What industries hire Data and Applied Scientists?
Technology, finance, healthcare, retail, consulting, and many other industries hire these professionals to support areas such as forecasting, personalization, risk analysis, research, and product development.
How can I find Data & Applied Scientist jobs paying $100,000 or more?
Explore Ladders for vetted professional Data & Applied Scientist opportunities paying $100,000 or more, and review each listing for its qualifications, responsibilities, and compensation details.