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Entry Level Data Scientist Machine Learning Jobs in Atlanta, GA

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

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 ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Solid understanding of statistical modeling and machine learning concepts, including model training ...

IRB USA Inspire Resources

Data Scientist

Atlanta, GA · On-site

$85 - $115/hr

Job Overview The Data Scientist performs analysis of multiple data sources using statistical ... Familiarity with statistics and machine learning concepts is essential. Alternate Paths : * Master ...

RELX Group plc

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Learn to apply statistical and machine learning techniques under the guidance of senior data scientists. * Help document model code, track results, and contribute to validating predictive models ...

RELX

Data Scientist I (DSAP)

Alpharetta, GA

$59K - $98K/yr

Learn to apply statistical and machine learning techniques under the guidance of senior data scientists. * Help document model code, track results, and contribute to validating predictive models ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

... machine learning modeling, etc.) to provide actionable insights that improve business We are ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

Crh-bc0817a9

Data Scientist

Atlanta, GA · On-site

$120 - $160/hr

Data Scientist (525066) CRH is a leading global diversified building materials group, employing ... Hands-on experience with machine learning tools, cloud platforms, and data warehousing; Snowflake ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

... machine learning modeling, etc.) to provide actionable insights that improve business We are ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

CRH

Data Scientist

Atlanta, GA · On-site

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 ...

LexisNexis

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Learn to apply statistical and machine learning techniques under the guidance of senior data scientists. * Help document model code, track results, and contribute to validating predictive models ...

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

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

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$118K

$189K

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

As of Aug 11, 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 machine learning?

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 is an entry level data scientist machine learning?

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:
Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,032 per year, or $56.7 per hour.

Machine Learning / Data Science Engineer

CapTech Consulting

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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