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Evening Amazon Data Science Jobs in Georgia (NOW HIRING)

OVA.Work

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache ... Science, Information Technology, Data Science, or related field Preferred : • 2+ years of ...

Deloitte

Agentic AI, AI & Data Science Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases ...

Workday

Data Scientist - AI Platform

Atlanta, GA · On-site

Amazon SageMaker, Python/R, RapidMiner, Alteryx, H2O, TensorFlow. - Substantial expertise in ... science, data science, operations research, statistics, applied mathematics, or a related ...

OVA.Work

Senior data engineer

Alpharetta, GA · On-site

$100K - $136K/yr

The ideal candidate will work closely with data analysts, data scientists, and software engineers ... Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache ...

Amazon

Data Engineer II - AMZ27052.1

Atlanta, GA · On-site

$132K - $178K/yr

Amazon Web Services, Inc. Position: Data Engineer II Location: Atlanta, GA Multiple Positions ... Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering ...

Staffingine LLC

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Build and optimize data lakes and warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation. * Collaborate with data scientists, analysts, and business stakeholders to deliver reliable ...

OVA.Work

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... with data scientists, software engineers, and product teams • Optimize model accuracy ... Amazon Web Services, Google Cloud, Microsoft • Understanding of REST APIs and microservices • ...

Amazon

Business Analyst III - AMZ27093.1

Atlanta, GA · On-site

$118K - $160K/yr

Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to ... Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of ...

OVA.Work

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

... with data scientists, software engineers, and product teams • Optimize model accuracy ... Amazon Web Services, Google Cloud, Microsoft • Understanding of REST APIs and microservices • ...

Deloitte

Finance Analytics & AI Senior Consultant

Atlanta, GA · On-site

$112K/yr

NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ... Preferred : • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics ...

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All JobsEvening Amazon Data Science JobsEvening Amazon Data Science Jobs in Georgia

Evening Amazon Data Science information

What are some common challenges faced by data scientists working evening shifts at Amazon, and how can they be managed?

Data scientists working evening shifts at Amazon may face challenges such as coordinating with colleagues in different time zones, maintaining effective communication with daytime teams, and managing work-life balance. To overcome these hurdles, it's helpful to leverage collaborative tools like Slack or Amazon Chime for asynchronous communication, schedule overlap meetings when possible, and establish clear expectations with team members. Additionally, evening shift roles can offer the advantage of uninterrupted focus time for deep analysis and model development, which can contribute to higher productivity and skill growth.

What is the difference between Evening Amazon Data Science vs Amazon Data Analyst?

AspectEvening Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's degree in Data Analysis, Business, or related fields; proficiency in Excel, SQL
Work EnvironmentFocus on developing models, algorithms, and advanced analytics during evening shiftsData reporting, visualization, and supporting business decisions, often during regular hours
Employer & Industry UsageUsed in tech and e-commerce sectors for machine learning and predictive modelingCommon in retail, e-commerce, and logistics for data reporting and insights

While both roles involve working with data at Amazon, Evening Amazon Data Science focuses on advanced analytics and model development during evening hours, whereas Amazon Data Analysts primarily handle data reporting and insights during regular hours. The roles differ in technical complexity and daily responsibilities but share a common goal of leveraging data to improve business outcomes.

What are the key skills and qualifications needed to thrive as an evening Amazon data science professional, and why are they important?

To thrive as an Evening Amazon Data Science professional, you need a strong background in statistics, machine learning, and data analysis, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like Python, SQL, AWS services (such as Redshift or S3), and data visualization platforms is essential, along with experience using version control systems. Strong communication skills, problem-solving abilities, and adaptability to work independently during non-standard hours help you stand out in this role. These skills ensure you can effectively derive insights, collaborate across teams asynchronously, and support data-driven decision-making in Amazon’s dynamic environment.

What is an evening Amazon data science job?

An Evening Amazon Data Science job typically involves working as a data scientist at Amazon during evening hours, either as part of a flexible schedule or to cover specific business needs. Data scientists at Amazon analyze large datasets, develop predictive models, and provide insights to improve products, services, or operations. Working evening shifts may be ideal for those seeking non-traditional hours or balancing other commitments. Responsibilities are similar to daytime roles but may require additional collaboration with global teams or support for time-sensitive projects.
What are the most commonly searched types of Amazon Data Science jobs in Georgia? The most popular types of Amazon Data Science jobs in Georgia are:
What are popular job titles related to Evening Amazon Data Science jobs in Georgia? For Evening Amazon Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Evening Amazon Data Science jobs in Georgia look for? The top searched job categories for Evening Amazon Data Science jobs in Georgia are:
What cities in Georgia are hiring for Evening Amazon Data Science jobs? Cities in Georgia with the most Evening Amazon Data Science job openings:
Evening Amazon Data Science jobs near you

data science engineer

OVA.Work

Alpharetta, GA • On-site

$108K - $130K/yr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
OVA.Work is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will collaborate with data analysts, data scientists, and software engineers to ensure reliable data flow, storage, and accessibility for business insights and analytics.
Responsibilities:
• Develop, maintain, and optimize ETL/ELT pipelines
• Build scalable data architectures and data warehouses
• Integrate data from multiple sources (APIs, databases, cloud platforms)
• Ensure data quality, integrity, and security
• Monitor and troubleshoot data pipeline performance
• Collaborate with analytics and business teams for reporting needs
• Implement data governance and best practices
• Automate workflows and improve data processing efficiency
• Support real-time and batch data processing systems
Qualifications:
Required:
• Strong knowledge of SQL and database systems
• Experience with Python, Scala, or Java
• Hands-on experience with ETL tools and frameworks
• Knowledge of cloud platforms such as: Amazon Web Services, Google Cloud, Microsoft
• Experience with big data technologies: Apache Spark, Hadoop, Kafka
• Familiarity with data warehousing concepts
• Understanding of CI/CD and DevOps practices
• Problem-solving mindset
• Strong communication skills
• Team collaboration
• Analytical thinking
• Attention to detail
• Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
Preferred:
• 2+ years of experience in data engineering or related roles
• Experience with modern data stack tools like Airflow, Snowflake, Databricks, or dbt
• Exposure to machine learning pipelines is an advantage
• Relevant certifications are a plus
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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