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

Provide technical support to project managers, engineers, planners, and scientists, integrating GIS ... Conduct data integration from GPS, CAD, remote sensing, and third-party sources into GIS databases ...

Provide technical support to project managers, engineers, planners, and scientists, integrating GIS ... Conduct data integration from GPS, CAD, remote sensing, and third-party sources into GIS databases.

Remote, United States Date Posted: Mar 4, 2026 Employment Type: Full Time Description Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving ...

Air Modeler

Columbia, SC · Remote

$80K - $119K/yr

Experience evaluating meteorological data, surface characteristics, terrain, background ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

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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.
What job categories do people searching Remote Data Science jobs in Irmo, SC look for? The top searched job categories for Remote Data Science jobs in Irmo, SC are:
What cities near Irmo, SC are hiring for Remote Data Science jobs? Cities near Irmo, SC with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Irmo, SC as of June 2026, with employment types broken down into 2% As Needed, 71% Full Time, 24% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Senior Software Engineer - Applied AI/ML

Senior Software Engineer - Applied AI/ML

Motorola

Lexington, SC • Remote

$135K - $155K/yr

Full-time

Medical, Dental, Retirement

Posted 19 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 139 rated electronics manufacturers


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewThe AI Services team creates solutions by applying our experience in workflow development, system integrations, and infrastructure deployment. Our products leverage cutting edge machine learning capabilities to enable our customers to focus on providing faster responses, safer outcomes, and greater transparency. You will join a talented engineering organization with a track record of delivering meaningful and impactful solutions.
Job Description

The AI Services team is looking for an experienced software engineer experienced with audio data, machine learning, and designing scalable systems. Our area of work is to enable fast, accurate, and natural communication between human operators and their underlying information in real-time systems.

Responsibilities and Expectations

  • Develop mission-critical software solutions that are maintainable, testable, scalable, performant, and highly available.

  • Promote best practices in software architecture, coding standards, and quality assurance while developing interfaces and workflow orchestration for real-time and batched solutions.

  • Support evaluation and analysis of our solutions and models (latency benchmarks, noisy audio and data, accuracy, etc)

  • Build and warehouse datasets for training and validation purposes, working closely with data scientists and other engineers.

  • Ensure security, compliance, and compartmentalization of data for public safety and enterprise customers.

  • Design and implement scalable ML/AI systems and pipeline

  • Optimize model performance and accuracy to meet system requirements

Requirements

  • 4+ years of software development experience working with Python, SQL

  • Must be a US Citizen with ability to obtain necessary security clearance as required by government contract

  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

  • Expert knowledge of software design and best practices for full development life cycle, including coding standards, code reviews, source control management, build processes, testing methodology, security, and audit/monitoring requirements.

  • Strong analytical skills capable of evaluating ideas, assessing risks, and controlling feature scope in real-time streaming solutions.

  • Highly proficient database and data modeling skills

  • Experience developing containerized solutions (Docker, Kubernetes) and serverless infrastructure (e.g. AWS Lambda).

  • Experience working with cloud-based solutions and configuration: Azure, AWS, and GCP.

  • Excellent written and oral communication skills to collaborate in a multinational environment with teams spanning the globe.

  • Familiarity with MLOps and full ML lifecycle management from prototype to production

  • Experience iterating on models and production code based on feedback

Additional Skills

  • Experience working with ML models, including traditional networks and large language models (LLMs)

  • Delivered solutions across domains like audio, NLP, generative AI, edge AI

  • Experience with ML frameworks (PyTorch, Tensorflow) and infrastructure (e.g., Databricks, MLFlow, AWS SageMaker, Hugging Face)

  • Experience with distributed computing frameworks like Ray

  • Experience with orchestration tools like Apache Airflow or Temporal

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Target Base Salary Range:$135,000 USD - $155,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

#LI-MP2
#LI-REMOTE


Basic Requirements
  • Bachelors degree with 4+ years of software development experience working with Python

  • AND 4+ years of experience using CI/CD (Github Actions, Azure DevOps, or Jenkins)

  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

  • Must be a U.S. citizen with ability to obtain necessary security clearance as required by government contract


Travel RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNo

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928