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Work From Home Data Scientist Machine Learning Jobs in Georgia

Senior Data Scientist

Atlanta, GA ยท On-site +1

$146K - $304K/yr

... -from anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint ... Work with engineers to design and implement scalable machine learning pipelines, covering all ...

Candidates must be legally authorized to work for any employer in the United States (or applicable ... Following the machine learning lifecycle, the data scientist should be able to convert the results ...

Candidates must be legally authorized to work for any employer in the United States (or applicable ... Following the machine learning lifecycle, the data scientist should be able to convert the results ...

Data Scientist

Atlanta, GA ยท On-site +1

$95K - $110K/yr

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

Data Scientist

Atlanta, GA ยท On-site +1

$95K - $110K/yr

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

Data Scientist

Atlanta, GA ยท On-site +1

$99K - $225K/yr

Experience with Machine Learning, AI, or NLP * Experience with visualization packages, including ... You may also be required to work from or visit a customer facility. * Onsite : If this position is ...

Data Scientist

Atlanta, GA ยท On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Produce high-quality work and respond to correspondence in an efficient, timely, and professional ...

Data Scientist

Atlanta, GA ยท On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... at work and at home. Join our dynamic, centralized Data Science team as we execute our AI/ML ...

You will work on complex data sets and cutting-edge technologies to extract actionable insights ... Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems ...

You will work on complex data sets and cutting-edge technologies to extract actionable insights ... Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems ...

Solid understanding of statistical modeling and machine learning concepts, including model training ... and we work diligently to maintain a workplace free from discrimination. Kemper is focused on ...

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$162K - $342K/yr

... to support flexible, secure, work-from anywhere experiences. We integrate industry-leading ... data science roles. * Strongproficiencyin Python and ML frameworks (e.g.,PyTorch, TensorFlow ...

Machine Learning Tutor

Athens, GA ยท Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Machine Learning Tutor

Woodstock, GA ยท Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

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Work From Home Data Scientist Machine Learning information

What is a work from home data scientist machine learning?

A Work From Home Data Scientist specializing in Machine Learning is a professional who analyzes data and builds predictive models using machine learning techniques, while working remotely. Their responsibilities include collecting, cleaning, and interpreting large datasets, creating algorithms, and communicating findings to help organizations make data-driven decisions. They often use programming languages like Python or R, and collaborate with teams through digital tools. This role allows for flexibility in location and often requires strong self-motivation and communication skills.

What are the key skills and qualifications needed to thrive as a work from home data scientist machine learning?

To thrive as a Work From Home Data Scientist in Machine Learning, you need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like TensorFlow, scikit-learn, SQL, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving, self-motivation, and effective remote communication skills set outstanding professionals apart. These skills are crucial for designing robust models, collaborating across remote teams, and delivering actionable insights to drive business decisions.

How does working remotely as a data scientist specializing in machine learning affect team collaboration and project workflow?

As a remote Data Scientist focused on Machine Learning, collaboration is often facilitated through digital communication tools like Slack, Zoom, and version control platforms such as GitHub. Project workflows are typically structured using agile methodologies, with regular virtual stand-ups and sprint reviews to ensure alignment. While remote work offers flexibility, it also requires proactive communication to stay updated on evolving project goals and to coordinate effectively with data engineers, product managers, and other stakeholders. Building strong documentation habits and being responsive during core working hours can help overcome common challenges related to time zone differences or asynchronous work.

What is the difference between Work From Home Data Scientist Machine Learning vs Work From Home Data Analyst?

AspectWork From Home Data Scientist Machine LearningWork From Home Data Analyst
Required SkillsProgramming (Python, R), Machine Learning, Statistical AnalysisData Visualization, Basic Statistical Skills, Excel
CertificationsCertified Data Scientist, Machine Learning CertificationsNone typically required, but certifications like Microsoft Data Analyst are common
Work EnvironmentRemote, collaborative teams, research-focused
Industry UsageTech, Finance, Healthcare, E-commerce

Work From Home Data Scientist Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and machine learning expertise. In contrast, Work From Home Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are remote-friendly and industry-relevant, but differ in technical depth and scope.

What cities in Georgia are hiring for Work From Home Data Scientist Machine Learning jobs?

Cities in Georgia with the most Work From Home Data Scientist Machine Learning job openings:

Senior Data Scientist

Atlanta, GA โ€ข On-site, Remote

$146K - $304K/yr

Full-time

Medical, Retirement

Re-posted 4 days ago


Job description

Job Description:

We areOmnissa!
Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint Management,Virtual Appsand Desktops, Digital Employee Experience, and Security & Compliance-into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement whileoptimizingIT operations, security, and cost.
Guided by our Core Values-Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value-we'regrowing rapidly and committed to delivering meaningful impact. Ifyou'repassionate about shaping the future of work,we'dlove to hear from you.

AtOmnissa, we are committed tomaintaininga fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respectforcandidate privacy.


What is the opportunity?
Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the AI Platform Team, the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
As a Senior Data Scientist, you will lead and innovate within the data science team to drive significant advancements in our AI/ML and data analytics capabilities. This is a hands-on role, and you will be expected to develop AI/ML based solutions, work closely with cross-functional teams to solve complex business problems, and contribute to the company's vision through advanced analytics, machine learning, and artificial intelligence. You'll work closely with engineering and product teams to operationalize models across our cloud scale environment
while driving best in class ML engineering practices. Here's a breakdown:

  • Lead the design and development of advanced data science and machine learning analytics models using structured, unstructured and semi-structured data.
  • Work with engineers to design and implement scalable machine learning pipelines, covering all stages from data ingestion and feature extraction to training, testing, validation, inference, and continuous learning in production systems.
  • Leverage key technologies and state-of-the-art tools necessary for exploring/querying data, visualization, and advanced analytics - distribution of key attributes, relationships between attributes, feature engineering, and statistical analyses.
  • Be an expert in and lead the development of AI/ML solutions based on Large Language Models (LLMs), Retreival Augmented Generation (RAG), and AI Agents.
  • Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
  • Design and implement prompt engineering strategies to optimize the performance of LLM based applications.
  • Collaborate with cross functional teams to integrate ML solutions into core platform features and services.


What will you bring to Omnissa?

  • 5+ years of experience in data science or machine learning engineering roles.
  • Hands-on experience with one or more of the following areas is required; experience across multiple areas is strongly preferred: supervised and unsupervised learning, classification and regression, clustering, time-series analysis, anomaly detection, recommendation systems, reinforcement learning, information retrieval, and natural language processing (NLP).
  • Highly proficient in Python and working knowledge of at least one other programming language such as Java, C++.
  • Extensive experience with AI/ML frameworks and libraries such as Scikit-Learn, Numpy, Pandas, SciPy, Hugging Face Transformers.
  • Hands-on experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.
  • Knowledge of text embedding models and vector databases for Retrieval Augmented Generation (RAG) systems.
  • Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and multi-agent systems.
  • Familiarity with cloud platforms and tools such as AWS, Azure, of Google Cloud for development and deployment of scalable AI/ML models.
  • Experience with distributed computing frameworks (e.g., Spark, Ray).

Location:Mountain View, CA or Atlanta, GA
Location Type:hybrid
Travel Expectations:None
Education:Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.

Compensation: The typical base salary for this role is betweenUSD $146,287- $304,750per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation,Omnissaoffers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance,paid-timeoff, growth opportunities, and more.

Omnissais an EqualEmploymentOpportunitycompanyandProhibits Discrimination and Harassment of Any Kind:
Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions atOmnissaare based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate.Omnissawill not tolerate discrimination or harassment based on any of these characteristics.Omnissawelcomes applicants of all ages.Omnissawill provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal,stateand local law.

This job requisition is not eligible for employment-based immigration sponsorship byOmnissa.