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

AWS Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/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.

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 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 ...

Senior Technical Recruiter (Contract) Location: Remote (Preference for EST/CST Time Zones) Type: 6+ ... Own full-cycle recruiting for roles across Engineering, Data Engineering, Data Science, Data ...

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 ...

Connect Staffing, Inc. seeks an Invoicing Analyst for a long-term contract role with a top ... information science, data visualization, or other relevant quantitative field preferred

Legal Business Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

... contract analysis, e-discovery, and research tools) that leverage the firm's data architecture ... Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related ...

... data scientists, business users and other engineers to define requirements and design solutions ... Contract Duration:6+Months Citizenship: USC/H1B/GC Expenses: All-inclusive Keep the subject line ...

Contracts Manager

Norcross, GA · On-site

$81.90K - $109.50K/yr

... award management, contract lifecycle from review to execution, compliance and negotiation for ... The role also supports data analysis and manipulation, FAR/DFARs/CFR compliance, representations ...

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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 May 30, 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 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 Data Scientist Contract, 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 are Data Scientist contract jobs?

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 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 May 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% Contract. Highlights an 100% Physical job distribution, with an average salary of $119,834 per year, or $57.6 per hour.
Head of Lottery Data Engineering & Data Warehousing

Head of Lottery Data Engineering & Data Warehousing

SCIENTIFIC GAMES

Alpharetta, GA • On-site

Full-time

Posted 23 days ago


Scientific Games rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

4th of 15 rated gambling companies


Job description

Job Summary:
Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. The Head of Lottery Data Engineering & Data Warehousing leads the strategy, architecture, and delivery of SG's lottery data platform, ensuring data flows into trusted and scalable warehouse environments across jurisdictions, products, and customers.
Responsibilities:
• Set the strategy, roadmap, and operating model for lottery data engineering and data warehousing.
• Lead and develop the team; set clear standards for delivery, quality, and operational ownership.
• Partner with DBA, IT, data science, core engineering, and product teams so source systems produce usable, trusted data.
• Define and negotiate data contracts covering schema, quality, timeliness, lineage, storage, and access constraints.
• Establish standard ingestion patterns, tooling, and infrastructure as code that make high-quality data delivery the default.
• Set, publish, and improve SLAs for timeliness, completeness, accuracy, and availability.
• Reduce KTLO through automation, observability, resilience, and platform simplification.
• Build and maintain a catalog of priority data sources and systems of record; drive onboarding plans for new jurisdictions, games, and sources.
• Lead the move from legacy approaches to a more scalable cloud- and AI-ready platform while protecting business continuity.
Qualifications:
Required:
• 10+ years of data engineering, data platform engineering, data warehousing, or related enterprise engineering experience.
• 5+ years leading engineering teams, including managers or senior engineers.
• Experience designing, building, and operating reliable data pipelines and warehouse platforms.
• Experience with batch and streaming ingestion, ETL/ELT, orchestration, data modeling, data quality, lineage, and observability.
• Experience defining data contracts and governance standards in environments with regulatory, contractual, or customer-specific constraints.
• Experience working across DBA, IT, product, application engineering, and analytics or data science teams.
• Experience modernizing legacy data platforms and planning phased transitions to cloud-based architectures.
• Clear written and verbal communication skills; able to turn business needs into technical plans and technical constraints into business tradeoffs.
• Ability to work with teams across multiple geographies
Preferred:
• Lottery, gaming, payments, or another regulated transactional environment.
• Production data platforms supporting analytics, BI, AI, or data science.
• Infrastructure as code and platform engineering practices.
• Multi-tenant, jurisdiction-specific, or contractually segmented data environments.
• Disaster recovery, redundancy, and resilient data platform design.
• Configurable or metadata-driven onboarding for new jurisdictions, games, or data sources.
• AWS technologies.
• Databricks.
Company:
Scientific Games specializes in data analytics, lottery games, game creation, sports betting, and facilities management services. Founded in 1973, the company is headquartered in Alpharetta, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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