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Applied Data Science Jobs (NOW HIRING)

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Applied Data Scientist

San Francisco, CA · On-site

What we require BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field. 3-5 years of applied data science; minimum 2 years working with NLP or large-scale text data in ...

Outtake inc.

Founding Applied Data Scientist

Manhattan, NY · On-site

$150 - $200/hr

You should be excited to operate at the intersection of analytics engineering, applied data science, product strategy, and AI systems evaluation. We are early, so this is not a narrow reporting or ...

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Take ownership of data science projects from initial problem definition and hypothesis building to ...

Outtake

Founding Applied Data Scientist

New York, NY · On-site

You should be excited to operate at the intersection of analytics engineering, applied data science, product strategy, and AI systems evaluation. We are early, so this is not a narrow reporting or ...

Shift5

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Take ownership of data science projects from initial problem definition and hypothesis building to ...

Booz Allen Hamilton

Applied Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Applied Data Scientist The Opportunity: As a data scientist, you're excited about building ... Work with us as we use data science for good. Join us. The world can't wait. You Have: * Experience ...

Prior Labs

Applied Scientist, Data Science

New York, NY · On-site

Applied Data Science & Experimentation: Identify high-impact use cases for TFMs and build proof-of-concepts that showcase their advantages over traditional ML. Develop best-practice workflows using ...

Booz Allen Hamilton

Applied Data Scientist

Arlington, VA · On-site

$125 - $150/hr

Applied Data Scientist The Opportunity: As a data scientist, you're excited about building ... Work with us as we use data science for good. Join us. The world can't wait. You Have: Experience ...

Siemens AG

$150 - $200/hr

Bachelor's or Master's degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field. * 6-10+ years of professional experience in the related fields including ...

Waabi

Senior / Staff Applied Scientist

San Francisco, CA · On-site

$200 - $250/hr

Minimum of 6+ years of professional experience in applied data science, advanced analytics, or machine learning, with a track record of driving end‑to‑end projects. * MS/PhD or equivalent ...

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Applied Data Science information

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How much do applied data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for applied data science in the United States is $147,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $183,000.00 per year, depending on experience, location, and employer.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.
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Applied Data Science jobs near you
Infographic showing various Applied Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $147,249 per year, or $70.8 per hour.

Clinical Professor Open-rank - MS in Applied Data Science

Chicago, IL • On-site

The University of Chicago
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about The University of Chicagoexternal

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

171st of 631 rated colleges and universities

Job description

Description
The Data Science Institute in the Physical Sciences Division at the University of Chicago invites applications for Clinical Professor (open-rank) to teach in its MS in Applied Data Science program. Appointments will be made as Assistant Clinical Professor, Associate Clinical Professor, or Full Clinical Professor, depending on qualifications. This full-time, benefits-eligible appointment is for an initial term of up to five years, with possibility of renewal. This is a teaching position with no research responsibilities and some administrative duties. The position is expected to begin in the 2026-2027 academic year.
The person holding this position must be able to teach at least two of the following courses: Statistical Models, Time Series, Big Data and Cloud Computing, Data Engineering, Leadership and Consulting for Data Science, Machine Learning and Artificial Intelligence, Human Computer Interaction, Quantum Computing, Swarm Intelligence, Advanced Computer Visualization, Natural Language Processing, or Bayesian Inference. An overview of the MS in Applied Data Science course offerings can be found at datascience.uchicago.edu/masters-programs. Depending on background and interests, the person holding this position may also be asked to teach other classes in the MS in Applied Data Science program.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Qualifications
Minimum Qualifications:
  • A PhD in Data Science, Applied Math, Statistics, Computer Science, Mathematics, or other closely related field, and at least 2 years of professional experience,
  • OR an MS/MBA with at least 5 years of professional experience in Data Science, Applied Math, Statistics, Computer Science Mathematics, or other closely related field.

Preferred qualifications:
  • Teaching experience either within a university (such as Adjunct, Lecturer, or Instructional Professor), or corporate training environment for professional education.
  • Experience teaching for an online program.

Application Instructions
To apply for this position, candidates must submit their application through the University of Chicago Jobs website: apply.interfolio.com/182491, and upload the following required documents:
  • A curriculum vitae;
  • A one to three-page teaching statement;
  • A list of contact information for three references;
  • Sample syllabus for a class you have taught before, or would be interested in teaching

Optional materials: teaching evaluations from past teaching at the university level.
Review of applications will begin on April 3, 2026, and continue until the position is filled.

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