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

DPR Construction

HR Technology Leader

Greenville, SC · On-site +1

This role is remote and open to candidates in the continental United States. This role requires ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

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Remote Data Science information

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.

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?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
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What cities near Clemson, SC are hiring for Remote Data Science jobs? Cities near Clemson, SC with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Clemson, SC as of June 2026, with employment types broken down into 2% As Needed, 67% Full Time, 26% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Analytics Engineer

Turnbridge Technical Solutions

Greenville, SC • On-site, Remote

Full-time

Medical, Retirement

Posted 4 days ago

Job description

Senior Analytics Engineer

Location: Greenville, SC or Remote (EST preferred)

Employment Type: Full-Time


About TURNBRIDGE

TURNBRIDGE is a technical solutions and talent delivery firm built on precision, speed, and accountability. We specialize in connecting high-performing technologists with complex, high-impact initiatives—delivering fast shortlists, fewer interviews, and start-date certainty. Our teams work on meaningful challenges where data, engineering, and strategy intersect to drive real business outcomes.


Role Overview

TURNBRIDGE is seeking a Senior Analytics Engineer to join our analytics practice and play a critical role in designing and delivering scalable, enterprise-grade data solutions. This role serves as a key technical partner to stakeholders across Sales, Finance, and Operations, transforming complex datasets into trusted, actionable insights that improve efficiency, profitability, and strategic decision-making.

You’ll work across the full business lifecycle—financial performance, revenue and pricing, demand forecasting, inventory management, and operational execution—while collaborating closely with analytics, BI, and cross-functional teams to embed analytics into core business processes.

What You’ll Do

  • Lead the design, development, and optimization of scalable data pipelines and analytical frameworks across financial, logistics, and sales domains
  • Develop and optimize advanced SQL queries and Python scripts to support complex data extraction, transformation, and analysis
  • Design and maintain end-to-end data ingestion workflows, integrating internal and third-party data sources using APIs and modern ELT/ETL practices
  • Build, manage, and continuously improve enterprise dashboards and reporting solutions using Tableau, Power BI, Databricks, or comparable platforms
  • Own and manage data workflows within Databricks, including notebooks, Delta Lake, Spark SQL, and job orchestration
  • Serve as a technical subject matter expert and mentor to junior and mid-level analysts
  • Partner with business stakeholders to define KPIs, translate strategic requirements into analytical solutions, and present insights to leadership
  • Establish and enforce data quality standards, documentation practices, and governance policies across datasets and reporting layers
  • Proactively identify opportunities to improve data infrastructure, reporting efficiency, and overall analytics maturity

What You Bring

Required Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field—or equivalent practical experience
  • 3–5 years of experience in analytics engineering, data engineering, or a related discipline
  • Hands-on experience with APIs, data ingestion processes, and ELT/ETL pipelines
  • Experience building dashboards and reports using BI tools such as Tableau or Power BI
  • Experience working with business data across financial, sales, and/or operational domains

Technical Skills

  • Strong proficiency in SQL and Python for analytics and data engineering
  • Experience with modern data platforms such as Databricks, including Spark SQL and Delta Lake
  • Solid understanding of data modeling concepts, including star and snowflake schemas and dimensional modeling
  • Experience with BI tools and data visualization best practices
  • Familiarity with version control and deployment workflows (e.g., Git, CI/CD pipelines)

Professional Skills

  • Strong analytical and problem-solving abilities with exceptional attention to detail
  • Ability to translate business requirements into scalable data solutions and actionable insights
  • Clear, effective communicator able to collaborate with both technical and non-technical stakeholders
  • Highly organized with the ability to manage multiple priorities and meet deadlines
  • Self-directed, accountable, and comfortable working independently within a collaborative team environment

Why TURNBRIDGE

  • Precision-Driven Delivery – Work in an environment focused on quality, clarity, and measurable outcomes
  • High-Impact Work – Contribute to initiatives that directly influence business performance and strategy
  • Growth-Oriented Culture – Opportunities to expand your technical depth and leadership impact
  • Competitive Compensation & Benefits – Including health and wellness programs, generous time off, financial planning resources, and a strong 401(k) match
  • Long-Term Partnership Mindset – We invest in people, not just placements