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Data Scientist Contract Jobs in Decatur, GA (NOW HIRING)

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 ...

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 Additional Information ...

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 ...

Senior Data Program Manager

Alpharetta, GA · On-site

$113K - $113K/yr

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and ... contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a ...

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 ...

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 ...

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 ...

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Role contingent upon contract award. What You Will Need: * U.S. Citizenship or Green Card is ...

... contracts and mobile insurance theft/loss programs, customer service support, service network ... Master's degree in Business, Information Technology, Data Sciences or Analytics, or other related ...

Showing results 41-60

Data Scientist Contract information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do data scientist contract jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data scientist contract in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

What is a data scientist contract?

Data Scientist contract jobs are temporary positions where professionals analyze and interpret complex data to help organizations make informed decisions. Unlike full-time roles, contract data scientists are hired for a specific period, often to work on particular projects or to provide specialized expertise. These contracts can range from a few months to a year or more, and may be offered through staffing agencies, consultancies, or directly by companies. Contract roles offer flexibility and exposure to diverse industries, but typically do not include employee benefits such as health insurance or paid time off.

What does a contract data scientist do?

As a contract data scientist, your job is to provide independent support to a client for a freelance project or assignment. In this role, you may analyze a database to obtain useful information, use statistics to interpret the results, help identify trends within the industry, and make recommendations about the best course of action. Contract data scientists often help analyze historical data, build or refine templates and dashboards, assist full-time employees, and use predictive modeling to evaluate future company needs. The length of each contract varies, but it's possible to work with the same company for a year or more.

What are the key skills and qualifications needed to thrive as a contract data scientist, and why are they important?

To thrive as a Data Scientist Contract, you need a strong background in statistics, data analysis, and programming, usually supported by a degree in a quantitative field. Proficiency with tools such as Python, R, SQL, machine learning libraries, and data visualization platforms is typically required, along with knowledge of cloud-based data environments. Excellent problem-solving abilities, adaptability, and strong communication skills help you translate complex data findings into actionable business insights. These skills ensure that contract data scientists can quickly deliver high-impact solutions and integrate seamlessly into diverse project teams.

What are some common challenges faced by data scientists working on a contract basis, and how can they be addressed?

Contract data scientists often face challenges such as quickly adapting to new teams and workflows, managing varying project scopes, and ensuring clear communication with stakeholders who may not have technical backgrounds. To address these, it's important to establish clear objectives and deliverables at the outset, maintain proactive communication, and document work thoroughly. Building strong relationships with both technical and non-technical team members can also help ensure project success and smooth collaboration.

What is the difference between Data Scientist Contract vs Data Analyst Contract?

AspectData Scientist ContractData Analyst Contract
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, government agencies

Data Scientist Contract roles focus on advanced analytics and machine learning, requiring higher-level skills and credentials. Data Analyst Contract positions involve data reporting and visualization, often with less emphasis on predictive modeling. Both roles are common in various industries, but they differ in complexity and scope.

What are the most commonly searched types of Data Scientist jobs in Decatur, GA?

The most popular types of Data Scientist jobs in Decatur, GA are:

What are popular job titles related to Data Scientist Contract jobs in Decatur, GA?

For Data Scientist Contract jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Data Scientist Contract jobs in Decatur, GA look for?

The top searched job categories for Data Scientist Contract jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Data Scientist Contract jobs?

Cities near Decatur, GA with the most Data Scientist Contract job openings:

Infographic showing various Data Scientist Contract job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.

Data Architect with GCP contract role Direct client

Atlanta, GA • On-site

$70/hr

Other

Posted 11 days ago


Job description

Contract

Atlanta, GA (Hybrid)

Rate: $70/hr on C2C (Max)

Job Description Strategic & Architectural Leadership
  • Define and evolve AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.
  • Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.
  • Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.
  • Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.
  • Provide architectural guidance on ethical, responsible, and compliant AI adoption.
Solution Architecture & Platform Design
  • Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.
  • Design and govern cloud-based data platforms leveraging:
    • Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)
    • AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)
    • Snowflake (data warehouse, data sharing, performance optimization)
  • Architect modern enterprise data architectures, including:
    • Data Lake, Lakehouse, Data Mesh, and Data Fabric
    • Open table/file formats such as Parquet, Iceberg, Delta Lake
    • Medallion architectures (Bronze/Silver/Gold)
  • Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).
  • Define and enforce data quality, metadata, lineage, and access control standards.
AI, ML, and Generative AI Architecture
  • Design and implement AI/ML and GenAI solution architectures from experimentation through production.
  • Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.
  • Lead architecture for Generative AI and Agentic AI, including:
    • LLM integration with tools, APIs, and knowledge bases (RAG patterns)
    • Autonomous and semi-autonomous agent workflows
    • Fine-tuning, prompt engineering, and optimization strategies
  • Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.
  • Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.
Technical Leadership & Collaboration
  • Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.
  • Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.
  • Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.
  • Communicate complex technical concepts clearly to both technical and executive audiences.
Required Qualifications
  • Bachelor’s Degree in Engineering or a related technical discipline.
  • 14+ years of hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.
  • 3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.
  • 6+ years of experience designing and scaling enterprise data platforms on GCP, AWS, and Snowflake.
Preferred Qualifications
  • Master’s degree or Ph.D. preferred.
  • Demonstrated success leading large-scale, cross-functional data and AI initiatives.
  • Cloud platforms: GCP and AWS (multi-cloud experience strongly preferred)
  • Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures
  • Programming & analytics: Python, SQL, PySpark
  • AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost
  • GenAI/LLM frameworks, vector databases, and graph databases
  • Data engineering tools: Spark, Kafka, Hadoop
  • Containerization and orchestration: Docker, Kubernetes
  • CI/CD and DevOps practices
  • Strong understanding of data modeling, performance tuning, and cost optimization
  • Strong architectural thinking and problem-solving skills
  • Excellent communication and stakeholder management capabilities
  • Ability to influence without authority and operate effectively in matrixed organizations
  • Self-driven, organized, and able to manage multiple priorities.
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