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Data Science Contract Jobs in Atlanta, GA (NOW HIRING)

Cognixia

Data Entry (Part-Time)

Atlanta, GA · On-site

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration:: 12 months Contract Qualifications Additional ...

Cognixia

Data Entry (Part-Time)

Atlanta, GA

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration:: 12 months Contract Additional Information ...

Cognixia

Data Entry (Part-Time)

Atlanta, GA · On-site

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration:: 12 months Contract Qualifications Additional ...

Fiserv, Inc.

Data & ML Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

You will work closely with senior engineers, data scientists, backend engineers, and product ... This is a full-time, direct-hire position, and no contract options for unsolicited agency ...

Monitise

Data & ML Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

You will work closely with senior engineers, data scientists, backend engineers, and product ... This is a full-time, direct-hire position, and no contract options for unsolicited agency ...

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 ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, 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 ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Worth AI

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

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 ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

System One

Senior Data Engineer

Atlanta, GA · On-site

$147K/yr

US Citizen or Legal Permanent Resident required per government contract Clearance: Eligible for ... You will work alongside a team of data scientists, operational leaders, and infrastructure ...

System One

Senior Data Engineer

Atlanta, GA · On-site

$147K/yr

US Citizen or Legal Permanent Resident required per government contract Clearance: Eligible for ... You will work alongside a team of data scientists, operational leaders, and infrastructure ...

System One

Senior Data Engineer

Atlanta, GA · On-site

$147K/yr

US Citizen or Legal Permanent Resident required per government contract Clearance: Eligible for ... You will work alongside a team of data scientists, operational leaders, and infrastructure ...

Staffingine LLC

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA Job Type: Contract * Design, develop, and maintain batch and streaming ETL/ELT ... Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.

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Showing results 21-40

All JobsData Science Contract JobsData Science Contract Jobs in Atlanta, GA

Data Science Contract information

See Atlanta, GA salary details

$23.3K

$109.8K

$202.9K

How much do data science contract jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science contract in Atlanta, GA is $109,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,934.00 and $153,942.00 per year, depending on experience, location, and employer.

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

What are the key skills and qualifications needed to thrive in the data science contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What are the most commonly searched types of Data Science jobs in Atlanta, GA? The most popular types of Data Science jobs in Atlanta, GA are:
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What cities near Atlanta, GA are hiring for Data Science Contract jobs? Cities near Atlanta, GA with the most Data Science Contract job openings:
Data Science Contract jobs near you
Infographic showing various Data Science Contract job openings in Atlanta, GA as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 89% In-person, 3% Hybrid, and 8% Remote job distribution, with an average salary of $109,757 per year, or $52.8 per hour.

Director, Data Architect Global Equipment Platforms (Coca-Cola GEP)

The Coca-Cola Company

Atlanta, GA • On-site

$61.25 - $78.75/hr

Full-time

Re-posted yesterday

Coca-Cola Consolidated rating

7.3

Company rating: 7.3 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

178th of 436 rated food and drinks producers

Job description

Job Description Summary:
The Coca-Cola Company is seeking a Director, Data Architect for Global Equipment Platforms (GEP). GEP is building the next generation of connected equipment capabilities across Freestyle, dispensed, coolers, digital racks, IoT-enabled assets, and future equipment ecosystems. As GEP evolves from individual equipment platforms into a connected commercial network, data architecture will be critical to enabling scalable analytics, AI, predictive maintenance, beverage quality intelligence, operational visibility, and customer-facing data products.
The Director, Data Architect will define and govern the enterprise data architecture for GEP. This role establishes the data models, data contracts, architecture patterns, governance standards, and data product foundations needed to support telemetry, equipment data, service data, product analytics, and AI-ready capabilities across the global equipment ecosystem.
This is a senior individual contributor architecture leadership role responsible for defining GEP's data architecture vision, standards, and federated operating model. The role will partner closely with Product, Engineering, Unified IoT, Platform, Data Science, Operating Units, Bottlers, Legal, Security, and external partners, while working within the broader enterprise and global data architecture framework to ensure GEP's data ecosystem is scalable, governed, discoverable, reusable, and aligned to enterprise technology standards and business priorities.
Key Responsibilities:
  • Define GEP's Enterprise Data Architecture
    • Evaluate existing data architecture, platforms, and capabilities across GEP and the broader enterprise ecosystem; identify gaps and opportunities; and define a target-state architecture and modernization roadmap aligned to enterprise standards, business priorities, and future-state digital and AI capabilities.

    • Lead the definition of GEP's enterprise data architecture across equipment telemetry, operational events, service data, product analytics, customer-facing insights, and AI/ML use cases.

    • Establish canonical data models for core entities such as equipment, devices, outlets, customers, bottlers, telemetry events, service events, products, consumption, configurations, and operational states.

    • Define architecture patterns for how data flows across source systems, Unified IoT, KOS, FOS, Microsoft Fabric, Data Hub, APIs, data products, and downstream applications.

    • Partner with GEP Engineering, Platform, Unified IoT, and broader global architecture and technology teams to ensure data architecture standards are implementable, scalable, secure, and operationally sustainable.

    Own Data Contracts and Semantic Consistency
    • Define and govern data contracts between source systems, OEMs, vendors, platform teams, and data consumers.

    • Establish standards for schemas, metadata, lineage, naming conventions, data definitions, and semantic layers.

    • Establish and evolve business ontologies and knowledge models that define the relationships between equipment, telemetry, products, customers, service events, and operational processes, enabling consistent data interpretation, interoperability, discoverability, and AI-ready capabilities.

    • Ensure data generated by equipment and upstream systems can be consistently understood, reused, governed, and consumed across analytics, AI, reporting, and product workflows.

    • Partner with Unified IoT and Common Equipment Data Language efforts to ensure telemetry and equipment data are aligned to enterprise-level definitions.

    Enable Data Products at Scale
    • Define architectural standards for reusable data products, including curated datasets, APIs, semantic models, feature layers, and governed access patterns.

    • Support the shift from ad hoc analytics and fragmented reporting toward scalable, reusable data products that answer business questions end to end.

    • Ensure data products are designed for multiple stakeholder personas, including product teams, engineering teams, operations, operating units, bottlers, account teams, and future customer-facing use cases.

    • Partner with Data Product, Analytics, and Data Science teams to ensure data products are production-grade, measurable, documented, and governed.

    Strengthen Data Governance and Access Control
    • Define data ownership, stewardship, and governance models across GEP, Operating Units, Bottlers, customers, and external partners.

    • Establish principles for role-based access, domain-based access, data classification, discoverability, and controlled data sharing.

    • Partner with Legal, Security, Privacy, Product, and Engineering teams to ensure data architecture supports regulatory and contractual requirements.

    • Ensure architecture patterns support secure, auditable, and controlled access to sensitive operational, commercial, and equipment data.

    Build AI-Ready Data Foundations
    • Define architecture patterns that make GEP data usable for predictive maintenance, beverage quality intelligence, operational optimization, product analytics, and additional AI-driven applications.

    • Partner with Data Science and AI teams to standardize reusable features, semantic models, and data products that accelerate model development and deployment.

    • Ensure enterprise data powering AI and analytics initiatives is reliable, traceable, semantically aligned, and governed through robust data architecture, ontology/semantic modeling, lineage, metadata management, to enable trusted AI and measurable business outcomes.

    • Help reduce duplication of feature engineering, one-off modeling datasets, and fragmented analytical logic.

    Partner Across the GEP Ecosystem
    • Work closely with Unified IoT product leadership, platform engineering, product teams, data engineering, data science, experience design, and equipment platform teams.

    • Serve as the data architecture point of contact for strategic initiatives involving KOS, Unified IoT, Common Equipment Data Language, Fabric, Data Hub, predictive maintenance, beverage quality, and customer-facing analytics.

    • Influence architecture decisions across internal and external stakeholders without relying solely on direct reporting authority.

    • Provide technical leadership and architecture guidance to vendors and delivery partners, ensuring vendors execute against GEP-defined standards rather than defining architecture independently.

  • Qualifications & Requirements:

    • 10+ years in data architecture, enterprise data platforms, data engineering, analytics architecture, or related technical leadership roles.

    • Experience defining data architecture across complex, multi-system enterprise environments.

    • Strong experience with cloud data platforms, lakehouse or warehouse architectures, data modeling, metadata, semantic layers, APIs, and data integration patterns.

    • Experience designing or governing data products, data contracts, canonical data models, or enterprise semantic layers.

    • Experience working across data engineering, product, software engineering, analytics, and business stakeholders.

    • Strong understanding of data governance, quality, lineage, access control, classification, and stewardship.

    • Ability to translate complex business needs into

  • Preferred Skills:

    • Experience with IoT, telemetry, connected devices, manufacturing, operational technology, industrial systems, or equipment data.

    • Experience with Microsoft Fabric, Azure data services, Databricks, Snowflake, or other modern enterprise data platforms.

    • Experience designing architectures that support AI/ML, predictive analytics, operational intelligence, or real-time monitoring.

    • Experience with data mesh, domain-oriented architecture, federated governance, or distributed data ownership models.

    • Experience working with external partners, OEMs, vendors, bottlers, franchise networks, or customer-facing data ecosystems.

    • Experience with metadata management, data catalogs, data discovery tools, observability, and data quality framewor

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Skills:
Collaborative Leadership, Communication, Data Compilation, Manufacturing Analytics, Process Improvements, Risk Assessments, Statistical Process Control (SPC), Supply Chain Processes
Pay Range:
United States of America: 149,000 USD - 173,000 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
30
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
August 13, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

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About Coca-Cola Consolidated

Sourced by ZipRecruiter

Coca-Cola Consolidated, based in Charlotte, NC, US, is a preeminent company in the beverage industry. The company is the largest independent bottler for The Coca-Cola Company in the United States. The company’s product portfolio includes prominent beverages such as Coca-Cola, Diet Coke, Sprite, and a variety of other beverages produced by The Coca-Cola Company. Founded in in 1980 after multiple expansions and mergers, the company has since gained a steadfast reputation in the industry as a leading bottler and distributor. Coca-Cola Consolidated's core values are committed to excellence, committed to service, committed to a higher calling, and committed to each other. Their mission is to share in the refreshment, fun, and fellowship of happiness found in The Coca-Cola Company’s beverages. Their notable achievements include not only market expansion but also their history of giving back to the communities where they operate, signifying their dedication to corporate social responsibility.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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