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Temporary Machine Learning Scientist Jobs in Atlanta, GA

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... Collaboration - Being able to engage with internal stakeholders, including data scientists ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Roswell, GA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Duluth, GA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Required : • Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics ... machine learning systems in production environments • Strong Python programming skills and ...

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Work cross-functionally with R&D, Data Science, Product, and Engineering to deliver business ...

Senior Data Scientist (Machine Learning & MLOps) Our client is seeking a Data Scientist (Machine Learning & MLOps) to help build the next generation of its intelligent water utility platform. This is ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical field required. * Master's degree or PhD in Computer Science, Machine Learning, or equivalent ...

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Temporary Machine Learning Scientist information

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

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are Temporary Machine Learning Scientists?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do Temporary Machine Learning Scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.
What are the most commonly searched types of Machine Learning Scientist jobs in Atlanta, GA? The most popular types of Machine Learning Scientist jobs in Atlanta, GA are:
What are popular job titles related to Temporary Machine Learning Scientist jobs in Atlanta, GA? For Temporary Machine Learning Scientist jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Scientist jobs in Atlanta, GA look for? The top searched job categories for Temporary Machine Learning Scientist jobs in Atlanta, GA are:
Infographic showing various Temporary Machine Learning Scientist job openings in Atlanta, GA as of July 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Machine Learning Scientist

Saince, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago


Job description

Company Description
Saince (pronounced Science) is a leading clinical documentation solutions and services provider that has been identified as one of the fastest growing companies in the country. Our growth is a reflection of our commitment to our customers by providing them with state-of-the-art clinical documentation technologies and services that increase productivity, reduce costs and provide actionable insights.
Job Description
Saince is a two-decades old, USA based health information technology solutions and services provider. Hundreds of hospitals and thousands of physicians across US rely on Saince's solutions for improving their workflow efficiencies and increase revenues. With deep clinical and technical knowledge, Saince offers innovative solutions for improving patient outcomes by empowering doctors with tools for better decision making. Saince has been recognized as one of the fastest growing companies in North America for several years.
Saince HealthTech is the Indian subsidiary of Saince, Inc. Located in Hyderabad, Saince HealthTech is the development arm of Saince and provides solutions development, support and maintenance services. Saince HeathTech is reputed for attracting the best and the brightest talent in the industry and provide them with unmatched opportunities for growth and excellence.
Saince HealthTech is currently planning to fill the following positions with highly skilled and talented individuals. Candidates who are extremely self-motivated and enjoy working under little or no supervision and in an environment that thrives on solving challenges will find these opportunities exciting.
At Saince we celebrate diversity among our workforce. We believe diversity benefits our company, our employees and the society at large. Saince is proud to be an equal opportunity workplace and all hiring decisions are made purely on the basis of merit, qualification, prior experience and business needs.
Job Description:
  • Research, design and prototype novel models based on machine learning, data mining, and statistical modeling in order to solve problems in healthcare industry where the problems may range from exploratory to highly applied
  • Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand
  • Collaborate with university partners and other scientists and engineers in a multidisciplinary work environment
  • Work with business teams to develop and help commercialize robust models

Qualifications
Required Skills:
  • 2+ years of experience with developing scalable algorithms that apply machine learning, artificial intelligence, and deep learning techniques
  • 7+ years of total experience with predictive analytics, operations research, and software development
  • Experience with using one or more of the following frameworks or tools: Python, R, or SAS
  • Experience with data mining techniques for large-scale datasets, including both structured and unstructured data
  • Experience with data and analytics solution delivery that address strategic business problems
  • Experience as an effective communicator with clients and software teams in translating client needs into solutions
  • Ability to be a self-starter with initiative and present complex information to non-technical audiences
  • Prior experience with medical imaging standards and technologies is a strong plus

Additional Information
Saince realizes that people are its assets and we are constantly benchmarking our HR Benefits with the best in the industry. We ensure that we at least on par if not better than what is available elsewhere.
Our Benefits package includes an attractive performance based bonus, medical, dental and vision insurance, vacation pay, books and periodicals reimbursement, certification test fee reimbursement, etc among many others.