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Applied Statistics Remote Jobs (NOW HIRING)

$13 - $17.50/hr

As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ... ML models, statistics) for a project that can be completed during the course of the internship ...

Research machine learning and statistical approaches that improve the predictive performance of ... Remote Travel requirements As a digital first company, the majority of your work can be ...

RESEARCH INTERN

$20 - $22/hr

REMOTE OPTIONS, PHOENIX Categories: Research, Program Management, Misc/Other/Not Applicable OFFICE ... applied statistics, and use of data manipulation techniques. Skills in: • Data analysis and ...

$20 - $22/hr

REMOTE OPTIONS, PHOENIX Categories: Research, Program Management, Misc/Other/Not Applicable OFFICE ... applied statistics, and use of data manipulation techniques. Skills in: • Data analysis and ...

RESEARCH INTERN

$20 - $22/hr

REMOTE OPTIONS, PHOENIX Categories: Research, Program Management, Misc/Other/Not Applicable OFFICE ... applied statistics, and use of data manipulation techniques. Skills in: Data analysis and ...

As a Lead Biostatistician, you will leverage your strong applied statistics and IVD expertise to ... Remote USA $130,900-$163,600 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Advanced degree preferred (MBA or Master's in computer science, applied statistics, mathematics, or ... Locations US Remote, Compensation is dependent on location and level. Includes base, bonus and ...

As a Director, you will leverage your applied statistics expertise to the design, analysis, and ... Remote USA $193,600-$242,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Showing results 21-40

Applied Statistics Remote information

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$40.5K

$83.7K

$117K

How much do applied statistics remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for applied statistics remote in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an applied statistics remote job?

An Applied Statistics Remote job involves using statistical methods and data analysis techniques to solve real-world problems, all while working from a remote location. Professionals in this field collect, analyze, and interpret data to provide insights for decision-making across various industries such as healthcare, finance, and technology. Remote applied statisticians often collaborate virtually with teams, utilize statistical software, and communicate findings through reports or presentations. This role requires strong analytical skills, proficiency in statistical tools, and the ability to work independently.

What are the key skills and qualifications needed to thrive as an applied statistics professional in a remote role?

To thrive as an Applied Statistics professional working remotely, you need a solid background in statistical theory, data analysis, and a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as R, Python, SAS, or SPSS, and familiarity with data visualization tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are essential for interpreting data and collaborating virtually. These skills ensure accurate analyses, clear insights, and successful teamwork, which are crucial for delivering impactful statistical solutions in a remote environment.

How does working remotely in an applied statistics role influence collaboration and project management with cross-functional teams?

In a remote applied statistics position, collaboration often relies on digital tools such as video conferencing, shared code repositories, and project management platforms. Statisticians frequently work with data scientists, engineers, and business stakeholders, making clear communication and documentation essential for successful project outcomes. Regular virtual meetings and asynchronous updates help align team objectives and ensure data-driven insights are integrated effectively. While remote work offers flexibility, it also requires proactive engagement to stay connected and maintain productivity within a distributed team environment.

What is the difference between Applied Statistics Remote vs Data Analyst?

AspectApplied Statistics RemoteData Analyst
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentRemote, often project-based or contract rolesRemote or on-site, typically in corporate or tech settings
Industry UsageResearch, academia, consulting, tech companiesBusiness, finance, marketing, tech companies
Common Search/ComparisonApplied Statistics RemoteData Analyst

Applied Statistics Remote and Data Analyst roles share similar educational backgrounds and often work in remote environments. However, Applied Statistics Remote roles tend to focus more on statistical modeling and research, while Data Analysts often handle data visualization and reporting for business insights. Both roles are in high demand across various industries, with Applied Statistics Remote positions leaning more toward research and academic projects.

More about Applied Statistics Remote jobs

What cities are hiring for Applied Statistics Remote jobs?

Cities with the most Applied Statistics Remote job openings:

What are the most commonly searched types of Applied Statistics jobs?

The most popular types of Applied Statistics jobs are:

What states have the most Applied Statistics Remote jobs?

States with the most job openings for Applied Statistics Remote jobs include:

Infographic showing various Applied Statistics Remote job openings in the United States as of August 2026, with employment types broken down into 11% Internship, 56% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Internship

Re-posted 15 days ago


Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN