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Evening Remote Data Science Jobs in Georgia (NOW HIRING)

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

IQVIA

Senior Data Team Lead (Remote)

Atlanta, GA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Senior Data Team Lead (Remote)

Atlanta, GA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Trella Health

You'll partner closely with data science, engineering, and GTM teams to ship AI-powered analytics ... This role is remote with a strong preference for candidates within commuting distance of Atlanta ...

Fetcherr

VP Engineering

Atlanta, GA · On-site +1

$173K - $223K/yr

Proven ability to align with other teams in the R&D organization, especially remote teams. Technical Depth * Strong background in data engineering, analytics and data science. * Proven experience in ...

INFT Solutions Inc

Remote -AWS Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

AWS Data Engineer Location: Remote Employment Type: Contract / Full-Time Job Summary We are seeking ... Science, Information Technology, Engineering, or a related field. Mandatory Skills · AWS Glue · ...

New

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

Bravo17

Lead Systems Engineer (data)

Atlanta, GA · On-site +1

A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

New

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field;

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Evening Remote Data Science information

What is the difference between Evening Remote Data Science vs Evening Remote Data Analysis?

AspectEvening Remote Data ScienceEvening Remote Data Analysis
Required SkillsAdvanced statistical modeling, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, task-focused
Industry UsageTech, finance, healthcare, researchBusiness, marketing, operations, finance

Evening Remote Data Science involves complex modeling and machine learning, often requiring programming skills and advanced analytics. In contrast, Evening Remote Data Analysis focuses on interpreting data, creating visualizations, and providing insights with less emphasis on coding. Both roles are remote and flexible but serve different analytical depths and industry applications.

Can data science jobs be done remotely?

Data science jobs, including evening remote data science roles, are often performed remotely as they primarily involve analyzing data, programming, and using tools like Python or R. Many companies offer remote positions to accommodate flexible schedules and leverage cloud-based collaboration platforms, making remote work a common option in the field.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What remote jobs can I do in the evening?

Remote data science roles, including evening shifts, are available for professionals with skills in programming, statistics, and data analysis. These jobs often require familiarity with tools like Python, R, or SQL and may offer flexible schedules to accommodate evening work. Many companies provide remote data science positions that can be performed outside traditional business hours.
What are the most commonly searched types of Remote Data Science jobs in Georgia? The most popular types of Remote Data Science jobs in Georgia are:
What are popular job titles related to Evening Remote Data Science jobs in Georgia? For Evening Remote Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Evening Remote Data Science jobs in Georgia look for? The top searched job categories for Evening Remote Data Science jobs in Georgia are:
What cities in Georgia are hiring for Evening Remote Data Science jobs? Cities in Georgia with the most Evening Remote Data Science job openings:
Evening Remote Data Science jobs near you
Lead Machine Learning Engineer - REMOTE

Lead Machine Learning Engineer - REMOTE

Lennar

Atlanta, GA • On-site, Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

20th of 80 rated construction

Job description

Lead ML Engineer - REMOTE
We are Lennar
Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
Join a Company that Empowers you to Build your Future
Lennar is seeking a Machine Learning Engineer to own and evolve the infrastructure and surface mechanisms that take our data science and ML models from notebook to production. This is a key role on the Applied AI & Data Science team, sitting at the intersection of software engineering, ML platform, and applied data science.
The ideal candidate is a software engineer with deep MLOps expertise. They know how to design model serving for both batch and real-time inference, build durable model registries and versioning practices, and stand up retraining pipelines that data scientists actually use. They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases, and the surrounding tooling that makes ML systems reliable in production.
You'll partner closely with data scientists, AI engineers, and platform teams-building and setting the foundation that lets ML models ship faster, retrain on schedule, and operate with the same engineering rigor as any other production service across 40+ divisions of one of the nation's largest homebuilders.
  • A career with purpose.
  • A career built on making dreams come true.
  • A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team
  • Design, build, and set the ML platform surface used by our data science team-covering model packaging, deployment, batch and real-time inference, and observability.
  • Establish and evangelize ML platform standards, patterns, and reusable components-raising the engineering bar for how ML models are built, deployed, and operated across the organization.
  • Mentor data scientists and engineers on production ML practices, code review their platform-adjacent work, and serve as the technical authority on MLOps decisions.
  • Own model serving infrastructure on AWS SageMaker (including SageMaker Unified Studio)-building patterns for batch inference jobs, real-time endpoints, and serverless inference depending on workload requirements.
  • Build and maintain the model registry, version control, and promotion workflows that move models cleanly from development to staging to production with full lineage and auditability.
  • Stand up and operate retraining pipelines using MLflow, Weights & Biases, and orchestration tools-automating retraining triggers, experiment tracking, model evaluation, and approval gates.
  • Build monitoring and alerting for production models including drift detection, performance degradation, data quality issues, and latency or cost anomalies.
  • Write clean, modular Python and infrastructure-as-code (Terraform) for ML platform components, applying software engineering best practices including testing, versioning, and code review.
  • Partner closely with data scientists to make their workflow faster and more reliable-reducing time-to-production for new models and increasing confidence in models already in production.
  • Collaborate with Data / Platform Engineering and AI Engineering counterparts to ensure feature pipelines, model artifacts, and inference services are integrated cleanly with the broader data and AI platform.

Requirements
  • Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
  • 7+ years of software engineering experience, including meaningful production ownership of services or platforms in a cloud environment.
  • 5+ years of hands-on MLOps or ML platform experience-deploying, monitoring, and retraining production models at scale.
  • Strong hands-on experience with AWS SageMaker (Unified Studio strongly preferred), including model training jobs, endpoints, batch transform, and pipelines.
  • Deep experience with experiment tracking, model registries, and retraining workflows using MLflow, Weights & Biases, or comparable tooling.
  • Strong Python skills with a track record of writing modular, well-tested, production-ready code; experience with infrastructure-as-code (Terraform preferred).
  • Solid understanding of both batch and real-time inference patterns, including the tradeoffs between latency, throughput, cost, and operational complexity.
  • Proven ability to partner with data scientists-understanding their workflow, lowering friction, and translating modeling needs into reliable platform capabilities.
  • Comfortable operating with autonomy in ambiguous environments-scoping work, setting realistic timelines, and raising blockers proactively without waiting to be asked.
  • Bonus: Experience with feature stores, model gateways, GPU workloads, distributed training, model drift monitoring tools, or supporting both classical ML and LLM-based models on the same platform.

What we offer:
  • The opportunity to deliver impact across one of the largest homebuilders in the United States.
  • A corporate culture focused on growth and development.
  • Freedom to try new impactful ideas.
  • Ability to deploy your work to teams across 40+ divisions and interact directly with those teams.
  • End-to-end project ownership.
  • Occasional travel for team activities and meetings.
  • Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or Dallas, TX.
  • Healthcare (medical, dental, vision) and 401k matching

Life at Lennar
At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.
Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.
Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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