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Applied Statistics Remote Jobs (NOW HIRING)

Sr. Data Scientist

Cincinnati, OH · On-site +1

$143K - $210K/yr

Cincinnati, OH OR Remote Travel: Upto20 daysper year Job Summary The Data Science team at ... Bachelor's degree in Applied Statistics, Computer Science,Economics, Operations Research, Business ...

MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

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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 Sep 13, 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.

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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?

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Other pages related to Applied Statistics Remote:

Infographic showing various Applied Statistics Remote job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 24% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Sr. Data Scientist

Cincinnati, OH • On-site, Remote

PatientPoint
Outpatient Health Care • 501 - 1,000 employees

$143K - $210K/yr

Full-time

Posted 4 days ago


Job description

Location:Cincinnati, OH OR Remote 

Travel:Upto20 daysper year 

Job Summary 

The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition.As a Senior Data Scientist, you will work on these problems by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions. 

WhatYou'llDo 

  • In this role, you'll work with a cross-functional team to advance algorithmic pricing across the business.  
  • To maximize impact, you'll iteratively design a system that establishes foundational signals of supply, demand, willingness-to-pay, and expected ROI and dynamically adjusts towards optimal prices under changing conditions. 
  • You'll build interpretability into the system, so that quoted prices are explainable, price changes have clear drivers, and pricing exception decisions are consistently actioned. 
  • To be successful, you'll need to develop a deep understanding of the goals and constraints of campaigns and leverage machine learning, statistical modeling, and optimization methods to consistently deliver impactful results for clients.  
  • As an experienced subject matter expert in this space, you'll also mentor and coach less experienced data science team members as they continue to develop their skills. 

What We Need 

  • Bachelor's degree in Applied Statistics, Computer Science,Economics, Operations Research, Business Analytics, InformationSystemsor a related field. 
  • 6+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders.  
  • Candidates will be asked to provide examples from theirpreviousexperienceand/or complete aprojectusing analytics to create actionable insights. 
  • Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration. 
  • Advanced knowledge and competency of machine learning and data science methods including predictive modeling, model validation and selection, network analysis, price elasticity estimation, optimization under constraints, etc. 
  • Experience promoting models through the lifecycle and monitoring model performance. 
  • Strong communicationskills and a collaborative attitude for working with stakeholders. 

Desired Qualifications 

  • Masters or doctoral degree inApplied Statistics, Computer Science,Economics, Operations Research, Business Analytics, InformationSystemsor a related field. 
  • Professional experience in healthcare, pharmaceutical,value-based pricing, B2B pricing, and digital advertising industries. 
  • Experience with Snowflake, Cursor, Airflow, HEX, Gurobi. 

What You'll Need to Succeed 

  • Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them. 
  • Highly self-motivated and self-directed. 
  • Critical thinking with the ability toidentifyand solve problems in a fast-paced environment. 
  • The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not onlypresenting the data but also explaining the insights in a context that resonates withtheaudience. 
  • Strong interpersonal,communication,and consulting skills. Ability toestablishand maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and pricing. 
  • Consistent ability to deliverresultsaligned to expected timelines. 
  • Enthusiasm for responding to a dynamic range of questions and analytical challenges. 


Base Salary Band: $143,374 - $210,544

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint's total compensation package for employees. For additional details on our total benefits package, please review the section "About PatientPoint" at the end of this job description.