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Remote Data Science Intern Jobs in Georgia (NOW HIRING)

Raymond

Civil Designer Intern

Conyers, GA · On-site +1

$14 - $18.25/hr

Conyers, GA / Remote or Hybrid (Multiple Raymond Offices) About Raymond: Raymond is a ... Strong math, science, and analytical skills * * Interest in engineering design, drafting, and ...

Atlanta Regional

Data Analyst, Senior

Atlanta, GA · On-site +1

$64.67K - $87.30K/yr

Regular Full-Time Remote Employment: Flexible/Hybrid Office: Office of the Chief Research ... Bachelor's degree in Economics, Data Science, Geosciences, Geography, Urban or Regional Planning ...

Sharecare

BI Analytics Intern - Remote

Atlanta, GA · On-site +1

Our comprehensive and data-driven virtual health platform is designed to help people, providers ... science degree • 3.0 GPA or better • Strong Excel skills • Mid-level SQL skills • Some ...

Aflac

Sr Data Consultant

Columbus, GA · On-site +1

$120K - $160K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Business Intelligence and Data Science analyses. Education & Experience Required * Bachelor ...

Aflac Incorporated

Sr Data Consultant

Columbus, GA · On-site +1

$120K - $160K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Business Intelligence and Data Science analyses. Education & Experience Required * Bachelor ...

Directive

$20/hr

Strong analytical abilities and a data-first mindset, with a keen interest in performance metrics ... As a remote-first company, you'll have the ability to work from your home office. For some ...

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Remote Data Science Intern information

What are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the most commonly searched types of Remote Data Science jobs in Georgia? The most popular types of Remote Data Science jobs in Georgia are:
What are popular job titles related to Remote Data Science Intern jobs in Georgia? For Remote Data Science Intern jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Georgia look for? The top searched job categories for Remote Data Science Intern jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Science Intern jobs? Cities in Georgia with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you

Principal Decision Scientist, Applied Optimization and Simulation 2026 - US

Aimpoint Digital

Atlanta, GA • On-site, Remote

Full-time

Posted 17 days ago

Job description

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision science, data engineering and infrastructure. This position is within our Decision Science practice which focuses on delivering solutions via optimization, simulation techniques, machine learning, and statistical modelling.
What you will do
As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. A Principal Decision Scientist will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will proactively research and apply knowledge within the data science space to deliver best-in-class solutions. You will lead both small and large teams over the entire data science lifecycle - from problem definition to model automation and deployment. As a Principal, you will be expected to provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. A Principal Decision Scientist will also manage all aspects of client relationships and create value-driving initiatives for the company.
Who we are looking for
We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end solution pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.
  • MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field
  • Strong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theory
  • Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo
  • Practical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS
  • Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy
  • Familiar with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and natural language processing
  • Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results
  • Strong analytical and problem-solving skills
  • 5+ years of practical data science experience
  • 5+ years of consulting experience (preferred)
  • Self-starter with excellent communication skills, able to work independently and collaboratively, and lead projects, initiatives, and/or people
  • Familiar with data visualization platforms such as PowerBI, Tableau or Sigma
  • Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker
  • Oil and gas industry experience is a plus

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.

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