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Temporary Data Scientist Machine Learning Jobs in Atlanta, GA

loomis

Data Scientist

Suwanee, GA

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

loomis

Data Scientist

Suwanee, GA

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. They will lead ...

4P Consulting Inc

DATA SCIENTIST

Forest Park, GA

Data Scientist OpportunityThis is Pankaj from 4P Consulting. Please see below Please share your ... Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. They will lead ...

Cherokee Federal

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Apply machine learning, artificial intelligence (AI), predictive modeling, and prescriptive ...

New

4P Consulting Inc

DATA SCIENTIST

Forest Park, GA

Data Scientist OpportunityThis is Pankaj from 4P Consulting. Please see below Please share your ... Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply ...

Elevance Health

AI Machine Learning Scientist

Atlanta, GA · On-site +1

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Will work closely with engineering, product, data science, and business teams to translate complex ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. * Data ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing machine learning models and data-driven solutions that enhance our water utility intelligence ...

Loomis Armored US, LLC

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

Loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

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All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Atlanta, GA

Temporary Data Scientist Machine Learning information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for temporary data scientist machine learning in Atlanta, GA is $118,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Atlanta, GA?

The most popular types of Data Scientist Machine Learning jobs in Atlanta, GA are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Atlanta, GA?

For Temporary Data Scientist Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Atlanta, GA look for?

The top searched job categories for Temporary Data Scientist Machine Learning jobs in Atlanta, GA are:

Temporary Data Scientist Machine Learning jobs near you

Data Scientist - AI/ML (Atlanta, GA)

Spartan Technologies, Inc.

Atlanta, GA • On-site

Full-time

Re-posted 5 days ago

Job description

We are seeking a Data Scientist who will be responsible for supporting predictive analytic initiatives that empower business decisions and is available for a direct hire/permanent role. The locations for this role are Atlanta, GA, FL, KS, LA, MS, OK, PA or TX. We are not seeking candidates who require relocation at this time. Also, we will consider candidates who are residents in Texas as well. This is a remote position.
Oil or Gas Industry experience is highly preferred for this role.
This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Scientist is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
The Data Scientist will be a key member of the Data and Analytics Platform Services team. This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Azure Data Lake Store. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads.
Responsibilities:
• Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
• Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
• Work cross-functionally with finance, operations, and field engineering teams on opportunities for improved insights.
• Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models.
• Explore large datasets using modeling, analysis, and visualization techniques.
• Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
• Ability to mentor, coach, and lead others.
• Contribute to and help build ML/AI vision to support business strategy.
Required Knowledge, Skills, Abilities (Qualifications):
• Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
• 7 years of experience applying data science, AI/machine learning, and analytics techniques to business problems.
• Experience leading data science projects.
• Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
• Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems.
• Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
Preferred Knowledge, Skills, Abilities:
• It is considered a plus to have knowledge and working experience in any of the following areas: Oil and Gas use cases for predictive analytics.
Travel Requirements: 10%
Position Location: Open

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