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Entry Level Data Scientist Machine Learning 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 ...

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 ...

... machine learning and analytical systems applied to design information and user behavior. โ€ข Works closely with Application Engineering teams to gather and process data, as well as in surfacing ...

Qualified candidates will have a passion for mathematics, statistics, AI/Machine learning, data ... What You'll Do: - Be an integral part of the Data Science Lab team that works closely with internal ...

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Data Scientist CRH Americas Corporate Atlanta, Georgia, United States Job ID: 525066 CRH is a ... Hands-on experience with machine learning tools, cloud platforms, and data warehousing; Snowflake ...

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

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Entry Level Data Scientist Machine Learning information

See Atlanta, GA salary details

$36.1K

$118K

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

As of Jul 14, 2026, the average yearly pay for entry level 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 are the key skills and qualifications needed to thrive as an Entry Level Data Scientist in Machine Learning, and why are they important?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are entry level data scientist machine learning jobs?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry-level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
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 Entry Level Data Scientist Machine Learning jobs in Atlanta, GA? For Entry Level Data Scientist Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Entry Level Data Scientist Machine Learning jobs? Cities near Atlanta, GA with the most Entry Level Data Scientist Machine Learning job openings:
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,032 per year, or $56.7 per hour.
Machine Learning Scientist

Machine Learning Scientist

Saince, Inc.

Alpharetta, GA โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 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.