1

Associate Data Scientist Deep Learning Jobs in Georgia

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... combine deep expertise in pricing and revenue management with modern software, machine learning ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Malvern, PA (Onsite/Hybrid) We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Malvern, PA (Onsite/Hybrid) We are looking for a highly experienced AWS Data Scientist with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming to ...

Data Scientist Prin

Augusta, GA · On-site

$107K - $182K/yr

The Geospatial Data Scientist will be expected to lead efforts such as, but not limited to ... networks, deep learning models, image recognition and algorithm employment or development in ...

... Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into ... Learn for deep learning projects Travel Requirements Up to 80% Job Posting End Date The salary ...

Deep understanding of machine learning and artificial intelligence. * Ability to innovate new ... Data Science team, and final conversations with our COO and CEO.

Deep understanding of machine learning and artificial intelligence. * Ability to innovate new ... Data Science team, and final conversations with our COO and CEO.

Deep understanding of machine learning and artificial intelligence. * Ability to innovate new ... Data Science team, and final conversations with our COO and CEO.

Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. * Data ...

Senior Data Scientist

Atlanta, GA · On-site

$120 - $170/hr

About this role: The Data Scientist serves as a trusted professional that is experienced in ... Deep understanding of machine learning and artificial intelligence. * Ability to innovate new ...

... Learning, and Applied AI. This role is designed for an elite practitioner with 15-18+ years of experience, including 10-14 years of deep, hands-on expertise in Data Science, ML, and AI systems at ...

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

Showing results 41-60

Associate Data Scientist Deep Learning information

What is the difference between Associate Data Scientist Deep Learning vs Data Scientist?

AspectAssociate Data Scientist Deep LearningData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; broader data analysis skills
Work EnvironmentFocus on developing deep learning models, often in AI or ML teamsBroader data analysis, visualization, and modeling across various projects
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, retail, tech, and more

The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Georgia? The most popular types of Data Scientist Deep Learning jobs in Georgia are:

$95 - $110/hr

Other

Re-posted 16 days ago


Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

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-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands‑on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade‑offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision‑support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year

#J-18808-Ljbffr