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Data Science Manager Remote Jobs in Simpsonville, SC

NTT DATA Services

Helpdesk Associate

Greenville, SC · On-site +1

$17.50 - $23.50/hr

Req ID: 341724 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Have a working cell phone for manager communication and Two-Factor Authentication Preferred ...

NTT DATA Services

Helpdesk Associate

Greenville, SC · On-site +1

$17.50 - $23.50/hr

Req ID: 341724 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Have a working cell phone for manager communication and Two-Factor Authentication Preferred ...

Promoted2

Remote Insurance Agent

Greenville, SC · Remote

$60K - $110K/yr

Manage client pipeline using our CRM system * Follow up to ensure satisfaction and policy retention ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Abbott

Implementation Project Manager

Greenville, SC · Remote

... scientists. The Opportunity This position is a remote based position for in the Abbott Point of ... Abbott Point of Care develops, manufactures and markets critical medical diagnostic and data ...

Abbott

Implementation Project Manager

Greenville, SC · Remote

... scientists. The Opportunity This position is a remote based position for in the Abbott Point of ... Abbott Point of Care develops, manufactures and markets critical medical diagnostic and data ...

pds

Supplier Quality Engineer REMOTE

Greenville, SC · On-site +1

$49.85/hr

Manage Supplier Deviation Requests (SDRs) and assess associated quality risks. * Lead supplier ... Analyze Cost of Poor Quality (COPQ) data and identify opportunities for systemic supplier ...

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All JobsData Science JobsData Science Manager Remote JobsData Science Manager Remote Jobs in Simpsonville, SC

Data Science Manager Remote information

See Simpsonville, SC salary details

$27.5K

$86.1K

$152.4K

How much do data science manager remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science manager remote in Simpsonville, SC is $86,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $111,200.00 per year, depending on experience, location, and employer.

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

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

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are popular job titles related to Data Science Manager Remote jobs in Simpsonville, SC?

For Data Science Manager Remote jobs in Simpsonville, SC, the most frequently searched job titles are:

What job categories do people searching Data Science Manager Remote jobs in Simpsonville, SC look for?

The top searched job categories for Data Science Manager Remote jobs in Simpsonville, SC are:

What cities near Simpsonville, SC are hiring for Data Science Manager Remote jobs?

Cities near Simpsonville, SC with the most Data Science Manager Remote job openings:

Data Science Manager Remote jobs near you
Infographic showing various Data Science Manager Remote job openings in Simpsonville, SC as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $86,097 per year, or $41.4 per hour.

Lead AI Engineer, Business Operations (Hybrid or Remote)

Afl Telecommunications Llc

Duncan, SC • On-site, Remote

$94K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago

Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.

What We Offer:

  • Flexible time off policy
  • 401K Company match (up to 4% — dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

We are seeking a Lead AI Engineer to join our Business Operations team. This position may be able to work remotely from anywhere within the United States.

The Lead AI Engineer is a senior technical leader on AFL's AI Enablement team, responsible for defining the architecture, standards, and delivery approach for agentic AI solutions that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will establish the technical foundation the team builds on, including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing the team to stay focused on design, delivery, and maintenance of future solutions.

Responsibilities:

Key responsibilities/essential functions include:

Architecture & Technical Foundation

  • Establishes the architectural patterns, evaluation practices, and deployment standards for the team
  • Makes framework and model recommendations that set the foundation for the team. Will evaluate orchestration frameworks, select deployment patterns, train and fine-tune models, and determine where managed platforms end and custom build begins

Solution Design & Delivery

  • Collaborates with the AI Enablement Manager and business unit to optimize operational processes, owning the infrastructure architecture and translating strategic direction into technical plans, product life cycles, a prioritized backlog, and buildable work
  • Owns solutions end-to-end: technical planning, architecture, build, and deployment, then continuously monitors, iterates, and improves them to keep them reliable in production

Production Reliability

  • Builds and continuously maintains the monitoring, evaluation, and regression detection systems that keep production agents reliable over time, including logging, performance benchmarking, and feedback loops that surface drift early

Governance & Collaboration

  • Partners with data governance to ensure solutions meet compliance, data quality, and operational standards

Personal Qualities:

  • Innovative and tech-savvy, with deep curiosity about emerging AI capabilities and how to apply them
  • Analytical and detail-oriented, with a strong architectural mindset
  • Collaborative and communicative, able to translate complex technical concepts for non-technical stakeholders
  • Self-directed and accountable, able to set technical direction and drive execution independently

Qualifications:

  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 5+ years of software engineering and architecture experience with a strong full-stack foundation — backend services, API design, system integration, and data infrastructure
  • Recent hands-on experience architecting and delivering AI or LLM-backed systems in production
  • Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability
  • Experience with AI development practices — model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit
  • Proficiency in Python; experience with cloud platforms
  • Experience mentoring engineers and setting technical direction across multiple initiatives
  • Strong communication skills with both technical and non-technical stakeholders

Working Conditions:

  • Environment: Remote work environment (US-based).
  • Travel: Occasional travel (domestic) as needed.

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