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Remote Data Scientist Deep Learning Jobs in Lithonia, GA

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · Remote

... Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Varsity Tutors

Data Science Tutor

Atlanta, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Lawrenceville, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Collaborate with analytics, data science, and ML project teams to productionize AI-enabled ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Collaborate with analytics, data science, and ML project teams to productionize AI-enabled ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

Partner with Data Science to build scalable logging and data pipelines. You will lead the creation ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

Visionaire Partners

Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

Work with data scientist team to migrate the analytical data and projects to GCP environment and ... Prepare and build data and analytical automation pipeline for self-serving machine learning ...

Visionaire Partners

Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

Work with data scientist team to migrate the analytical data and projects to GCP environment and ... Prepare and build data and analytical automation pipeline for self-serving machine learning ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

... learning models. What We Are Looking For: We are seeking an experienced and highly skilled Google ... Work closely with data scientists and analysts to understand data needs and business goals.

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... learning models. What We Are Looking For: We are seeking an experienced and highly skilled Google ... Work closely with data scientists and analysts to understand data needs and business goals.

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Remote Data Scientist Deep Learning information

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$34.2K

$112.1K

$179.4K

How much do remote data scientist deep learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data scientist deep learning in Lithonia, GA is $112,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,900.00 and $124,200.00 per year, depending on experience, location, and employer.

What is a remote data scientist specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in deep learning?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do remote data scientists specializing in deep learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What job categories do people searching Remote Data Scientist Deep Learning jobs in Lithonia, GA look for?

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Workforce Planning Data Scientist - Remote

CBRE

Atlanta, GA • On-site, Remote

Full-time

Posted 14 days ago

CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 351 frontline employees who took The Breakroom Quiz

109th of 499 rated business services

Job description

About the Role:
The Workforce Planning Data Scientist will turn complex recruiting, staffing, workforce, and operational data into clear insights that enable better and faster business decisions.
This role blends data analytics, dashboard development, workforce forecasting, and foundational data engineering. The successful candidate will be comfortable working with large and complex datasets, reconciling information from multiple sources, developing scalable reporting solutions, identifying trends, and translating findings into practical recommendations for recruiting and workforce leadership.
While this is not a traditional Data Scientist or Data Engineer position, the role requires someone who can think beyond reporting what happened. The analyst should be able to determine why it happened, what is likely to happen next, and what actions should be considered as a result.
What You'll Do:
Workforce Analytics & Decision Support
  • Analyze workforce, recruiting, staffing, attrition, requisition, offer, start, and productivity data to identify trends, risks, and opportunities.
  • Evaluate staffing performance across sites, business units, roles, and time periods.
  • Analyze historical attrition patterns to identify where future hiring demand is likely to occur.
  • Develop models and recommendations that help determine when and where requisitions should be opened proactively.
  • Identify trends across weekly, monthly, quarterly, and historical workforce performance.
  • Analyze relationships between staffing levels, attrition, hiring activity, requisition volume, recruiter productivity, and hiring outcomes.
  • Conduct ad hoc analyses in response to evolving workforce and leadership priorities.
Forecasting & Predictive Analysis
  • Build workforce forecasts incorporating staffing requirements, active headcount, attrition, projected starts, hiring velocity, and historical trends.
  • Identify emerging staffing risks before they materially impact operations.
  • Develop scenario analyses to evaluate different hiring and attrition assumptions.
  • Identify leading indicators that can improve workforce planning and recruiting decisions.
  • Assess whether workforce and recruiting performance is trending toward or away from established targets.
Dashboard Development & Visualization
  • Design and maintain intuitive dashboards that translate complex datasets into clear, actionable information.
  • Develop reporting for staffing health, recruiter productivity, requisition aging, time to offer, hiring outcomes, attrition, projected starts, and workforce demand.
  • Create leadership level views that allow users to quickly understand performance, risks, trends, and required actions.
  • Continuously improve dashboards based on business needs and user feedback.
Data Management & Engineering
  • Work with multiple data sources and large datasets that may contain hundreds of thousands to millions of records.
  • Clean, transform, combine, and structure data for analysis and reporting.
  • Understand data pipelines, relationships, joins, data models, and source/system dependencies.
  • Partner with Data Engineering and BI resources on more complex data architecture and pipeline requirements.
  • Automate repeatable reporting and data preparation processes when practical.
  • Troubleshoot data inconsistencies and reconcile conflicting numbers across systems
Data Quality & Governance
  • Validate and reconcile workforce metrics before they are used for business decisions.
  • Identify data quality issues, missing information, duplicate records, inconsistent definitions, and source/system discrepancies.
  • Establish clear metric definitions and calculation logic.
  • Ensure leadership reporting is consistent, repeatable, and explainable.
What You'll Need:
  • Bachelor's Degree preferred with 5 plus years of relevant experience in talent acquisition analytics, workforce planning, or people analytics. In lieu of a degree, a combination of experience and education will be considered.
  • Demonstrated experience analyzing complex, high volume datasets.
  • Strong experience developing dashboards and executive level reporting.
  • Experience performing trend analysis, forecasting, and scenario modeling.
  • Demonstrated ability to reconcile data across multiple systems and identify data quality issues.
  • Experience translating complex analytical findings into understandable business recommendations.
  • Workforce planning, recruiting analytics, HR analytics, operations, or high-volume staffing experience strongly preferred.
  • Advanced SQL
  • Advanced Excel, including Power Query, PivotTables, XLOOKUP/INDEXMATCH, complex formulas, and large dataset management
  • Power BI dashboard development experience
  • Data modeling and relational database concepts
  • ETL/ELT concepts
  • Python, particularly Pandas and NumPy
  • Familiarity with APIs and automated data ingestion
  • Experience with cloud data environments or data warehouses
  • Familiarity with Power Automate or similar workflow automation tools
  • Experience with ATS, HRIS, workforce management, or recruiting datasets
  • Experience building workforce planning or capacity models
  • Understanding of basic regression, correlation, seasonality, and forecasting methodologies

Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).
CBRE GWS
CBRE Global Workplace Solutions (GWS) works with clients to make real estate a meaningful contributor to organizational productivity and performance. Our account management model is at the heart of our client-centric approach to delivering integrated real estate solutions. Each client is entrusted with a dedicated leader and is supported by regional and global resources, leveraging the industry's most robust platform. CBRE GWS delivers consistent, measurably superior outcomes for our clients at every stage of the lifecycle, and across industries and geographies.
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What CBRE employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About CBRE

Sourced by ZipRecruiter

The real estate industry is undergoing significant and exciting change, increasingly driven by data and technology. At CBRE, the world's premier commercial real estate services company, we empower teams to take ownership over that technology and shape it, offering both nimble, research-driven product design and the resources of a Fortune 500 business. We approach culture with intention, valuing camaraderie, collaboration, inclusivity and a healthy work/life balance. The user experience team is passionate about the quality, usability, and simplicity of the experiences we create. Individuals in these roles gather these key user insights, and then use them to inspire and inform product strategy and design solutions. We partner closely with each other, engineering, and product management to create innovative, usable, great-looking products.

Industry

Real estate

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1906

Social media

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