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Remote Data Science Jobs in Greenville, SC (NOW HIRING)

Regional Finance

Senior Associate, Data Analyst

Greer, SC · On-site +1

$82K - $104K/yr

Bachelor's degree in Computer Science, Information Systems, Mathematics/Statistics, Data Science ... Regular full-time office or remote work environment, primarily involving computer-based analytical ...

Posted today

Lockheed Martin

Data Analyst Sr- Level 3

Greenville, SC · On-site +1

$76K - $96K/yr

... scientist analyst who will play a key role in developing, deploying, and maintaining data based ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Greenville, SC

Remote Data Science information

See Greenville, SC salary details

$21.5K

$95.7K

$182.6K

How much do remote data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data science in Greenville, SC is $95,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,427.00 and $132,721.00 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.

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.

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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Greenville, SC? The most popular types of Data Science jobs in Greenville, SC are:
What are popular job titles related to Remote Data Science jobs in Greenville, SC? For Remote Data Science jobs in Greenville, SC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Greenville, SC look for? The top searched job categories for Remote Data Science jobs in Greenville, SC are:
What cities near Greenville, SC are hiring for Remote Data Science jobs? Cities near Greenville, SC with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Greenville, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $95,688 per year, or $46 per hour.

Senior Associate, Data Analyst

Regional Finance

Greer, SC • On-site, Remote

$82K - $104K/yr

Full-time

Posted 22 hours ago

Posted today

Regional Finance rating

6.9

Company rating: 6.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

133rd of 150 rated financial services

Job description

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.

We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.

If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!

Ready to make an impact with data? As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful insights that support every area of the business. Using modern analytics, reporting, and AI-powered tools, you'll help drive smarter decisions and operational success.

Duties and responsibilities

  • Build new, informative dashboards and enhance existing dashboards
  • Enhance reporting capabilities by incorporating forecasting, trend analysis, and forward-looking performance indicators where applicable
  • Partner with business stakeholders to gather requirements, translate business questions into analytical solutions, and ensure reporting outputs are actionable and aligned with business objectives
  • Reconcile data from source to reporting presentation layer
  • Analyze company metrics, both methodologies and calculations, and produce recommendations for management to standardize where needed
  • Become SME on current and future data infrastructures
  • Perform ad hoc data and reporting analyses
  • Develop proposals for fully automated data and reporting solutions and present to management/stakeholders
  • Support data ownership and governance activities for the Data & Analytics team, including data definition alignment, data quality rule creation, documentation, and issue resolution for reporting assets
  • Support the ongoing Enterprise Data Warehouse development effort, inclusive of technical requirements analysis and user acceptance testing, as needed
  • Present convincing arguments to improve business processes backed by sound data and analytical methods

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Mathematics/Statistics, Data Science, Finance/Economics or equivalent work experience
  • Proven business experience in a reporting or analytics role for at least 5 years
  • Experience building reports using modern Business Intelligence tools
  • Experience using AI-enabled productivity or analytics tools to improve reporting, documentation, automation, or analytical workflows, inclusive of building skills, markdown files, and agents
  • Fluency in SQL
  • Financial Services experience

Preferred Qualifications

  • Master's Degree in Data Science, Data Analytics, or Statistics
  • Experience with Snowflake
  • Consumer finance experience
  • Advanced coding experience in using programming languages like Python, R, Spark, and Scala
  • Experience using Sigma

Critical Competencies

  • Experience working with complex data sets
  • Understanding of loan amortization methods and schedules
  • Naturally curious, challenges status quo
  • Keen attention to detail, ability to resolve issues through root cause analysis
  • Ability to manage multiple, competing priorities
  • Excellent communication skills across various levels of the organization
  • Self-directed, demonstrated ability to effectively work remotely

Working conditions

Regular day job. Regular full-time office or remote work environment, primarily involving computer-based analytical, reporting, and stakeholder communication activities.

If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf

Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional's policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.

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