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Fulltime Data Science Jobs in Georgia (NOW HIRING)

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Atlanta, GA Role: Full Time Mode: On-Site Accepting H1B Transfer cases This role is a hands-on ... Masters or Bachelor's degree in Computer Science or Information technology with specialization in ...

Senior Data Engineer

Augusta, GA · On-site

$98.60K - $133.90K/yr

... Type Full-Time Career Level Staff Education High School / GED Travel None Security Clearance ... MA or MS in Data Science, Data Analytics, Informatics, Statistics, or related field AND 5 years ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Role: Data Architect Location: Atlanta, GA Duration: Full Time Mode: On-Site ( Atlanta, GA ... Masters or Bachelor's degree in Computer Science or Information technology with specialization in ...

Data Architect

Alpharetta, GA · On-site

$120K - $198K/yr

Collaborate with data scientists to prepare training datasets and operationalize machine learning ... This is a full-time, direct-hire position, and no contract options or unsolicited agency ...

Data Analyst, Senior

Atlanta, GA · On-site +1

$64.67K - $87.30K/yr

Regular Full-Time Remote Employment: Flexible/Hybrid Office: Office of the Chief Research ... Bachelor's degree in Economics, Data Science, Geosciences, Geography, Urban or Regional Planning ...

Computer science, statistics, math, physics, economics, etc. * Strong coding skills and ability to ... In addition to your great compensation package, full-time employees will be eligible for the ...

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

... data science workflow to drive business results preferred * Consulting experience strongly preferred * Willingness to travel We are actively seeking candidates for full-time, remote work within the ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data ...

This is a Permanent, Full-Time role, reporting to the Senior Manager, Master Data and Business ... Bachelor's degree in Information Systems, Business, Data Science, or a related field. * 2+ years of ...

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Showing results 1-20

Fulltime Data Science information

What is the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

What cities in Georgia are hiring for Fulltime Data Science jobs? Cities in Georgia with the most Fulltime Data Science job openings:
Data Architect

Data Architect

ACI Infotech

Atlanta, GA • On-site

$61.25 - $78.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role: Data Architect
Location: Atlanta, GA
Role: Full Time
Mode: On-Site
Accepting H1B Transfer cases
This role is a hands-on technical SME opportunity who will be designing software and services at scale and deliver creative, compelling solutions in the cloud that are cost-effective, reliable, and stable to build Business insight derivation applications on Marketing data sets.
Duties and Responsibilities:
  • Conduct Business Requirements workshops with Marketing Business teams and document them as User Stories in Azure DevOps backlogs
  • Collaborate on standards and governance of Client's next-gen CDP platform to enable a federated contribution model across multiple delivery teams
  • Use Test and Learn approach to assess the fitment of Microsoft Customer Insights platform for Client
  • Hands-on coding/configuration in support of Customer Data Platform implementation for Client and its on-going maintenance and product evolution
  • Integrate Customer Data Platform (CDP) with Enterprise Azure Cloud Data Lake using industry best practice
  • Integrate CDP with Web and Mobile applications
  • Custodian of Data Collection and ingestion into Customer Data Platform, standardization, unification and segmentation of customer profiles
  • Lead Proof Of Concepts (POC) for Tealium, Blueshift, Bloomreach, Segment CDP products
  • Partner with Marketing business unit to help CDP power marketers create targeted personalized marketing campaigns
  • Work with Marketing Product Owners and Stakeholders to gather data requirements and deliver data products in a collaborative and agile environment
  • Engineer and performance tune ETL jobs to move data from a variety of source systems and file types to fit into dimensional data models
  • Work with Offshore Azure Cloud developer for translating Business Requirements in to Technical specifications and develop the Azure Data Ingestion pipelines

Work Experience/ Education: (Required work experience and education / preferred experience and education that is beneficial to the role. Work experience can include management experience or any functional expertise where proficiency is necessary to be successful in the role)
Work Experience:
    • Minimum 6 years of experience working in IT department with Data & Analytics responsibilities
    • 2+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)
    • Recent 2+ years of experience working as Sr. Data Architect on Azure Cloud Platforms

Work Experience: (continued)
    • 1+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases
    • 2+ years of experience working with Google Analytics
    • 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)
    • Experience working on Data & Analytics projects using Agile methodologies
    • Previous Retail, Convenience Store/Petroleum industry experience a plus
    • Previous experience working with Punchh Loyalty platform data is a huge plus

Education:
    • Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.
    • Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,)
    • Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)

Technical Skills, tools:
  • Azure Cloud technologies:
    • Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,

Azure DevOps:-Boards, Repos, Pipelines, Test Plans
  • Databases:
    • Must Have: SQL servers/SQL databases, MongoDB,
  • BI Platforms:
    • Must Have: Power BI, Power BI Premium,
  • Other MS tools:
    • Must Have: SSMS, SSIS, Visual Studio
  • Advanced Analytics/Data Scientists tools:
    • Must Have: Google Analytics, FireBase, RStudio Server, PyCharm
  • Programming Languages:
    • Must Have: SQL, JavaScript,
  • Agile tools:
    • Must Have: Azure DevOps,