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Remote Data Science Jobs in Memphis, TN (NOW HIRING)

Munich Re

Data Scientist, AI

Memphis, TN · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Deloitte

System Test and Validation Lead

Memphis, TN · On-site +1

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Memphis, TN · On-site +1

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Memphis, TN · On-site +1

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Memphis, TN

Remote Data Science information

See Memphis, TN salary details

$21.9K

$97.6K

$186.3K

How much do remote data science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote data science in Memphis, TN is $97,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,417.00 and $135,381.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Memphis, TN? The most popular types of Data Science jobs in Memphis, TN are:
What are popular job titles related to Remote Data Science jobs in Memphis, TN? For Remote Data Science jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Memphis, TN look for? The top searched job categories for Remote Data Science jobs in Memphis, TN are:
What cities near Memphis, TN are hiring for Remote Data Science jobs? Cities near Memphis, TN with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Memphis, TN as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $97,605 per year, or $46.9 per hour.

Mgr Marketing Data Science

Federal Express Corporation

Collierville, TN • On-site, Remote

Other

Re-posted 2 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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