ZipRecruiter

Log In

1

Research Machine Learning Federated Learning Jobs in Simpsonville, SC

Varsity Tutors

Business Analytics Tutor

Greenville, SC · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Tribe513

Clinical - Clinical Research Coordinator

Greer, SC · On-site

$23.25 - $31/hr

Clinical Research Coordinator Position: Full-Time, Hourly Based at: TCR - Greer Position Summary ... Continuous learning mindset Primary Accountabilities: * Informed Consent Process * Medical Record ...

OP Mobility

SITE MAINTENANCE INTERN

Greer, SC · On-site

$14.50 - $19.25/hr

What we can offer: • Flexible work hours to accommodate school schedule. • On the job learning ... With €11.5 billion in revenue in 2025, 152 factories, 40 R&D centers, and nearly 38,100 employees ...

OPmobility

SITE MAINTENANCE INTERN

Greer, SC · On-site

$14.50 - $19.25/hr

What we can offer: • Flexible work hours to accommodate school schedule. • On the job learning ... With €11.5 billion in revenue in 2025, 152 factories, 40 R&D centers, and nearly 38,100 employees ...

previous page

Showing results 41-60

All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Simpsonville, SC

Research Machine Learning Federated Learning information

See Simpsonville, SC salary details

$22.6K

$37.7K

$78K

How much do research machine learning federated learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for research machine learning federated learning in Simpsonville, SC is $37,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,800.00 and $40,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a researcher in machine learning federated learning?

To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.

What are some common challenges faced when implementing federated learning in a research environment?

One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.

What is a researcher in machine learning federated learning?

A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.

What is the difference between Research Machine Learning Federated Learning vs Data Scientist?

AspectResearch Machine Learning Federated LearningData Scientist
CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, tech companies focusing on privacy-preserving MLBusiness environments, analytics teams, data-driven departments
Industry UsageDeveloping federated algorithms, privacy-preserving ML modelsData analysis, modeling, reporting, and insights generation

Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.

What cities near Simpsonville, SC are hiring for Research Machine Learning Federated Learning jobs? Cities near Simpsonville, SC with the most Research Machine Learning Federated Learning job openings:
Research Machine Learning Federated Learning jobs near you

Business Analytics Tutor

Varsity Tutors

Greenville, SC • Remote

$18 - $40/hr

Part-time

Re-posted 10 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Business Analytics Tutor
  • Advanced Subject Mastery: Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data-driven decision-making frameworks. Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management positions.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down regression modeling, data visualization design, and optimization problem formulation. Guides students through cleaning and preparing data sets, building predictive models, creating meaningful dashboards, interpreting analytics output for business stakeholders, and making data-driven recommendations. Emphasizes translating technical analysis into actionable business insights and connects analytics to marketing, operations, finance, and supply chain applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with business analytics curricula and common challenges such as transitioning from spreadsheets to analytics tools, interpreting model output correctly, and communicating findings to non-technical audiences. Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business environments.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

What Varsity Tutors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply