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Data Scientist R Remote Jobs in Memphis, TN (NOW HIRING)

Varsity Tutors

Data Science Tutor

Memphis, TN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

micro1 AI

Cheminformatics Specialist - Remote

Memphis, TN · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

micro1 AI

AI Trainer - Microbiology Expert

Memphis, TN · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

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All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Memphis, TN

Data Scientist R Remote information

See Memphis, TN salary details

$36.4K

$119.2K

$190.9K

How much do data scientist r remote jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data scientist r remote in Memphis, TN is $119,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,100.00 per year, depending on experience, location, and employer.

What is a data scientist R remote?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote data scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What are the key skills and qualifications needed to thrive as a data scientist R remote?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Memphis, TN? For Data Scientist R Remote jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Memphis, TN look for? The top searched job categories for Data Scientist R Remote jobs in Memphis, TN are:
What cities near Memphis, TN are hiring for Data Scientist R Remote jobs? Cities near Memphis, TN with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Infographic showing various Data Scientist R Remote job openings in Memphis, TN as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 9% In-person, and 91% Remote job distribution, with an average salary of $119,236 per year, or $57.3 per hour.

Mgr Marketing Data Science

Federal Express Corporation

Collierville, TN • On-site, Remote

Other

Re-posted 5 days ago

Job description

The primary focus of this position is to lead and manage a team responsible for developing and implementing data science initiatives to drive strategic business outcomes. Building and nurturing a high-performing data science team through hiring, coaching, mentoring, and talent development. Identifying and solving complex business problems using large data and advanced analytics/machine learning techniques. Leading data science/advanced analytics initiatives such as customer data platform optimization, consumer insights modeling, market analytics, forecasting, retail network optimization, pricing analytics, and revenue management modeling. Providing expert guidance to a team of data scientists in the use of machine learning, predictive modeling, quantitative analytics, and applied statistics. Developing new analytical approaches and algorithms to address challenging problems. Delivering bottom-line impact through rapid, agile modeling approaches in collaboration with diverse partners. Establishing best practices for machine learning model development, documentation, deployment, version control, automation, and scalability. Providing expert guidance and thought leadership to business partners and executive leadership on the application of data science methodologies to high-impact business problems. Perform other duties as assigned.


Requirements


Master's degree in data science, analytics, business, computer science, operations research, statistics, applied mathematics, business analytics or related quantitative disciplines plus 5 years of experience in the job offered or 5 years of experience in applying data science, operations research, or data analytics modeling to generate revenue, reduce costs, increase profitability, and improve customer experience required. The employer will alternatively accept a PhD in data science, analytics, business, computer science, operations research, statistics, applied mathematics, business analytics or related quantitative disciplines plus 2 years of experience in the job offered or 2 years of work experience in applying data science, operations research, or data analytics modeling to generate revenue, reduce costs, increase profitability, and improve customer experience required in lieu of a Master's degree plus 5 years of experience.

The position requires experience with: Extensive knowledge in advanced data science/analytics, statistical analysis, and machine learning methods. Experience conducting end-to-end analyses, including data gathering, processing, analysis, and presentation. Strong familiarity with evolving analytics concepts, techniques, and technologies. Ability to lead a technical team. Experience providing leadership in a general planning or consulting setting. Experience as a leader or senior member of multi-functional project teams. Strong human relations, organizational/time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences. Technical background in computer science, engineering, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational fields. Proven track record of data science/data engineer expertise, designing and deploying technical solutions that deliver tangible, ongoing value. Demonstrated ability to deliver projects with a team, often working under tight time constraints to deliver value. An engineering mindset, willing to make rapid, pragmatic decisions to accelerate the delivery of business insights and impact. Demonstrated expertise in working with common programming languages and tools such as Python, Scala, R, SAS, SQL, C++, Java, or other modern programming languages. Experience with diverse machine learning (ML) frameworks. Extensive experience in advanced data science and analytics techniques including Geospatial Analytics, Statistics, Predictive Modeling, and Quantitative Analytics. Strong skills in Machine Learning and ML Engineering techniques to develop and implement ML solutions to complex business problems. Proficiency in programming languages such as Python, PySpark, R, SAS, and SQL for data manipulation, analysis, and model development. Expertise in analytical tools such as SAS, ESRI ArcGIS, Azure Databricks and the Microsoft Azure tech stack. Strong understanding of the retail sector and a deep understanding of consumer behavior in transportation setting. 

Position supervises 6 employees.

Position allows for telecommuting from home within commuting distance of Collierville, TN. 

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