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Data Science Jobs in Athens, GA (NOW HIRING)

Deep knowledge of life science including plants, animals, and ecosystems, earth science including ... Guides students through forming hypotheses, recording data in journals, comparing and classifying ...

Computer Programming Tutor

Athens, GA ยท Remote

$18 - $40/hr

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Machine Learning Tutor

Athens, GA ยท Remote

$18 - $40/hr

Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI ...

Algebra 2 Tutor

Athens, GA ยท Remote

$18 - $40/hr

Emphasizes pattern recognition and connects abstract concepts to data science and financial mathematics. * Curriculum Awareness & Adaptive Instruction: Familiar with Algebra 2 curricula and common ...

Probability Tutor

Athens, GA ยท Remote

$18 - $40/hr

Emphasizes intuitive understanding of randomness and uncertainty, connecting probability theory to insurance, genetics, quality control, and data science applications. * Curriculum Awareness ...

Data Analysis Tutor

Athens, GA ยท Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Math 2 Tutor

Athens, GA ยท Remote

$18 - $40/hr

Emphasizes connecting algebra with geometry and applies concepts to engineering, architecture, and data science contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with Integrated Math ...

Linear Algebra Tutor

Athens, GA ยท Remote

$18 - $40/hr

Ability to explain abstract vector space axioms, change of basis, and inner product spaces while preparing students for applications in data science, engineering, and advanced mathematics.

Life Sciences Tutor

Athens, GA ยท Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture ... Familiar with life science curricula at high school and introductory college levels, and common ...

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Cheminformatics Specialist - Remote

Athens, GA ยท On-site +1

$90 - $120/hr

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Showing results 41-60

Data Science information

See Athens, GA salary details

$36.2K

$118.5K

$189.7K

How much do data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science in Athens, GA is $118,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,300.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Athens, GA?

The most popular types of Data Science jobs in Athens, GA are:

What are popular job titles related to Data Science jobs in Athens, GA?

For Data Science jobs in Athens, GA, the most frequently searched job titles are:

What cities near Athens, GA are hiring for Data Science jobs?

Cities near Athens, GA with the most Data Science job openings:

Infographic showing various Data Science job openings in Athens, GA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $118,514 per year, or $57 per hour.

Senior Data & Analytics Specialist

KOKI Group

Braselton, GA โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

KOKI Group is one of the world's leading manufacturers of power tools and accessories. Our group of brands includes HiKOKI, Metabo, Metabo HPT, Carat and Sankyo.
As an employer, KOKI awakens the skills that are in you. Whether you have a passion for sales, design, technology or marketing - at KOKI we offer you a variety of different areas and professions. Become part of our global team. Become a machine maker, set your impulses and start your career with us.

Job Purpose
The position acts as an important project and process liaison between global teams and regional stakeholders (USA).
Main responsibilities for this position are:
  • Consulting and requirements engineering with and for key stakeholders within USA & North America.
  • Project Management, consulting and development for global Data & Analytics projects with focus on North America
  • Close collaboration with global ERP members and partial support for ERP projects
  • Translation of processes, governance and requirements between global Competence Center Data & Analytics and North America business members
  • Development, Consulting and supporting projects within the global GCC Data & Analytics
  • Align regional requirements with global strategy

The position must be responsible and empowered to translate and ensure project governance and guidelines into North America (NA) SBU. Position will gather requirements and perform active stakeholder management within the SBU NA and also supporting global projects.
Position will be part of the Global Competence Center (GCC) and report directly into Team Leader of Data & Analytics.
Overall, the role is not purely technical but a key business-facing position, requiring strong regional presence to ensure adoption, governance, and long-term success
Responsibilities
  • Consulting: Consulting within projects and translation from business processes and expectations into clear IT as well as Data & Analytics requirement.
  • Business Process Optimization: Collaborate closely with several business stakeholders in various departments to optimize processes, enhance efficiency of data & reporting solutions.
  • Standardization: Ensure Data & Analytics standardization of reporting solutions, data platforms and governance within the KOKI group with a special focus on SBU North America
  • Customer focus: Focus and understanding of our internal customers and their processes is a key competence
  • Implementation and Optimization: Active development support within KOKI's data and reporting solution. Discover potential, and ongoing improvement of the solutions and tools for Data & Analytics across all business units.
  • Project Management: Target orientated project management of various local and global Data & Analytics projects, following KOKI IT project management guidelines and IT strategy
  • Collaboration with stakeholders: Close collaboration and engagement with business stakeholders to understand business requirements.
  • Strong and close collaboration is needed with the GCC ERP
  • Enables effective consulting, training, and adoption of modern technologies (e.g., Snowflake, Power BI, AI) within the regional business community
  • Ensures compliance with US-specific data privacy regulations and effective integration of local and external data sources
  • Acts as a key resource partner for local business analysts, combining deep understanding of regional requirements with detailed knowledge of the global data platform and its available data assets
  • Provides deep understanding of local business processes and ensures they are properly reflected in global data models and solutions
  • Provides direct and timely hands-on support for local applications and business process needs.
  • Strengthens the global "follow-the-sun" support model across Japan, India (GCC), Europe, and North America
  • Aligns with the global Data & Analytics strategy to standardize reporting, improve governance, and transition from local to global solutions

Position Requirements/Qualification
  • Education: Bachelor's degree in Computer Science / Business Informatics or a related field.
  • Experience: At least 5 years of experience in the area of Data & Analytics
  • Technical Expertise:
    • In-depth knowledge of reporting and data systems, with modern data platforms, especially Snowflake and reporting solutions like Power BI. Also, well versed in SQL / Data Modeling.
    • Proven experience in extraction, transformation, harmonization and loading of data from various source systems into Data Lakehouse solutions.
    • Experience in data modelling and cloud data architecture like medallion concepts.
      Expert in the evaluation and recommendation of technical solutions. Prior experience in consulting or ERP analytics is a plus.
    • Deep understanding of programming languages like Python combined with an AI driven mindset
  • Project Management Expertise: Experienced in Project Management methodologies (Agile / Waterfall / Hybrid). Strong understanding of continuous improvement methodologies.
  • Communication: Strong communication skills with focus on clarity.
  • Multinational Team Experience: Successfully collaborate with diverse, international teams and facilitate alignment to ensure that technical outputs (like dashboards, data models, and reports) truly meet business goals.
  • Business Trips: Willingness to travel up to 10% for global engagements.
  • Risk Management: Knowledge of risk identification, assessment, and mitigation strategies within the context of business processes.
  • Team Player: A collaborative and team-oriented approach, combined with hands on mentality with the ability to work effectively with cross-functional teams and individuals at all levels of the global KOKI organization.
  • Mindset: Result-driven Mindset.
  • Language Proficiency: English, any other languages, e.g. Japanese is an advantage.

Sounds like what you are looking for?
Then we look forward to receiving your online application, via our online career portal. We look forward to meeting you soon.