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Remote Data Scientist Jobs in Pendleton, SC (NOW HIRING)

Purpose Financial

Data Engineer

Greenville, SC · On-site +1

$100.70K - $121K/yr

Education Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field. College graduate with a desire to learn. Experience Required * Two years of experience in data ...

Dataman Ltd

Salesforce Administrator

Clemson, SC · Remote

... Remote) .We love referrals! Please refer us to your friends, family and colleagues for this ... Configure and maintain these integrations to ensure data synchronization and system ...

TEKsystems

Sr. ITGC/ IT Audit Analyst

Greenville, SC · Remote

$50 - $60/hr

... , cybersecurity, data governance, business continuity, third-party risk management, and AI ... Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, or a related field ...

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Remote Data Scientist information

See Pendleton, SC salary details

$31.4K

$102.9K

$164.7K

How much do remote data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data scientist in Pendleton, SC is $102,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $114,000.00 per year, depending on experience, location, and employer.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs
What cities near Pendleton, SC are hiring for Remote Data Scientist jobs? Cities near Pendleton, SC with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Pendleton, SC as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 75% Full Time, 13% Part Time, 1% Temporary, and 8% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $102,900 per year, or $49.5 per hour.
Data Engineer

Data Engineer

Purpose Financial

Greenville, SC • On-site, Remote

$100.70K - $121K/yr

Other

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Purpose Financial rating

5.4

Company rating: 5.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Brand: Purpose Financial
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer:
  • Competitive Wages
  • Health/Life Benefits
  • Health Savings Account plus Employer Seed
  • 401(k) Savings Plan with Company Match
  • Paid Parental Leave
  • Company Paid Holidays
  • Paid Time Off including Volunteer Time
  • Tuition Reimbursement
  • Business Casual Environment
  • Rewards & Recognition Program
  • Employee Assistance Program
  • Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks
To learn more about Purpose Financial visit Purpose Financial Website.
Position Summary
The Data Engineer will play a critical role in designing, building, and maintaining our data infrastructure and pipelines to enable efficient collection, storage, processing, and analysis of large-scale datasets. Collaborate with cross-functional teams to build and acquire underlying data for application owners, end-users, and design strategic data services for the organization. The right Data Engineer will need to have working knowledge of AWS and/or Snowflake cloud environments.
Job Responsibility
  • Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, semi-structured, and unstructured data from various sources into our data lake and warehouse environments.
  • Implement data integration solutions to consolidate data from disparate sources, including databases, API's, streaming platforms, and third-party services (e.g., Snowpipe, SnowPark, Dynamo, Kafka).
  • Optimize data processing workflows for performance, efficiency, and scalability using distributed computing or parallel processing frameworks such as FiveTran, dbt, Snowpark, Snowpipe, etc....
  • Collaborate cross-functionally with IT & business stakeholders to understand data requirements, define data models, and develop solutions to support data services, reporting, and Software Development.
  • Partner with data, IT, and business teams to improve design and building of metrics to enhance our analytic capabilities.
  • Implement data quality checks, data validation processes, and error handling mechanisms to ensure the accuracy, completeness, and reliability of data across all stages of the data lifecycle.
  • Support the design and maintenance of data schemas, and metadata repositories for governance documentation of data lineage, definitions, and dependencies.
Job Responsibilities Cont.
  • Support the development and maintenance of data governance policies, standards, and best practices to ensure compliance with data privacy regulations and industry standards.
  • Apply best practices for AWS and Snowflake architectures, data pipelines and data models.
  • Monitor, troubleshoot, and optimize the performance and availability of data systems and infrastructure using monitoring and logging tools such as Prometheus.
  • Stay current with emerging technologies, tools, and trends in data engineering, cloud architectures, and cloud computing to evaluate their potential impact and relevance to our data platforms.
Education Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. College graduate with a desire to learn.
Experience Required
  • Two years of experience in data engineering, data pipelines, and data services preferred.
  • Familiarity with Agile/Scrum based development and methodology.
  • Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis.
  • Hands on experience with cloud-based data platforms and services such as AWS and Snowflake.
  • Experience with distributed computing frameworks such as Apache Spark, Kafka, etc.
  • Proficiency in database systems, data warehousing, data patterns/architectures, and SQL query optimizations.
  • Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.
  • Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced and collaborative environment.
  • Strong communication, interpersonal and teamwork skills, with the ability to interact with stakeholders at all levels of the data team.

Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Physical Requirements
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
Competencies
Technical Proficiency/Leadership
OKR
Travel
None
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46112

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