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Data Analyst Data Science Jobs in Cumming, GA (NOW HIRING)

This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production.

Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives. * Advanced Analytics & Insights: Provide deep ...

Required : • Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Finance, or a related field. • 3-5+ years of experience in data science, business analytics, or cost ...

Experience working as a data analyst, preferably within pharmaceutical, healthcare or life sciences domain * Understanding of healthcare data such as claims data, sales data, pharmacy sales data etc.

Data Scientist

Atlanta, GA · On-site

$99K - $225K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

Data Scientist

Atlanta, GA · On-site

$99K - $225K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable ...

VP of Data Science

Atlanta, GA · On-site

$150 - $200/hr

Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed ... Coordinate teams of analysts/data scientists/software engineers in performing and implementing high ...

DATA ANALYST

Atlanta, GA · On-site

$60 - $80/hr

DATA ANALYST Atlanta, GA, US F M Talent Source is an enterprise that provides business and workforce solutions to help organizations nationwide overcome business challenges. Our clients include ...

Job Summary We are seeking a highly analytical and motivated Data Scientist to join our team. The ideal candidate will leverage statistical analysis, machine learning, and data mining techniques to ...

Data Analyst

Norcross, GA · On-site

$60 - $80/hr

We are seeking a Data Analyst to join our tax recovery team, focusing on sales tax refund reviews. The ideal candidate will analyze transaction-level data, identify overpaid taxes, and support the ...

Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Certified Data Management Professional - RiversandRiversand ...

We are seeking a Data Analyst for a full-time contract opportunity with FM Talent Source for one of our valued clients. Position Summary The Data Analyst supports the analysis, interpretation, and ...

Data Scientist

Atlanta, GA · On-site

$99K - $225K/yr

Work with us as we use data science for good. Join us. The worldcan'twait. You Have: * 8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining ...

We are seeking a Data Analyst to join our tax recovery team, focusing on sales tax refund reviews . The ideal candidate will analyze transaction-level data, identify overpaid taxes, and support the ...

Showing results 41-60

Data Analyst Data Science information

See Cumming, GA salary details

$30.3K

$73.7K

$121.3K

How much do data analyst data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst data science in Cumming, GA is $73,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $86,500.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

What job categories do people searching Data Analyst Data Science jobs in Cumming, GA look for?

The top searched job categories for Data Analyst Data Science jobs in Cumming, GA are:

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

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

Infographic showing various Data Analyst Data Science job openings in Cumming, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,721 per year, or $35.4 per hour.

Full-time

Re-posted 20 days ago


Job description

Position Summary

As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform. This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production. You will work closely with senior data scientists, software engineers, and Product Management to translate business requirements into actionable insights and ML capabilities. This role offers the opportunity to grow your skills in production ML, cloud technologies, and contribute directly to water conservation and utility operational improvements.

Responsibilities
• Collaborate with team members to develop and deploy machine learning models and data science solutions.
• Work with Product Management to understand requirements and translate them into analytical approaches.
• Build machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
• Analyze large-scale time-series data from IoT devices and water utility operations.
• Develop data processing workflows using Python, SQL, and distributed computing frameworks.
• Conduct exploratory data analysis to identify patterns, trends, and insights in utility data.
• Perform feature engineering and model experimentation to improve predictive performance.
• Create data visualizations and reports to communicate findings to stakeholders.
• Implement data quality checks and validation procedures for analytical pipelines.
• Collaborate with software engineers to integrate ML models into Neptune 360 platform.
• Monitor model performance and contribute to maintenance of production ML systems.
• Document analytical methodologies, code, and model implementations.
• Participate in code reviews and follow data science best practices.
• Work with cloud-based data infrastructure and ML tools (AWS preferred).
• Stay current with developments in machine learning and data science techniques.
• Participate in sprint planning and demonstrate completed work at the end of every iteration.
• Support senior data scientists with complex analytical projects.
• Continuously develop technical skills through self-directed learning and training.

Experience

• 3+ years of experience in data science, machine learning, or related analytical roles.
• 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn).
• Strong experience with SQL and relational databases.
• Experience building and evaluating machine learning models.
• Understanding of statistical analysis and experimental design principles.
• Experience with data visualization tools and techniques.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with version control systems (Git).
• Understanding of software development best practices.
• Ability to work in Agile/iterative development environments.
• Strong problem-solving skills and attention to detail.
• Ability to communicate technical concepts clearly to both technical and non-technical
audiences.
• Demonstrated ability to learn new technologies and tools quickly.
• Continued professional development through courses, certifications, or projects.
• Preferred: Experience with PySpark or distributed computing frameworks.
• Preferred: Experience with time-series analysis and forecasting.
• Preferred: Experience with AWS services (SageMaker, Lambda, S3, Redshift).
• Preferred: Experience with deep learning frameworks (TensorFlow, PyTorch).
• Preferred: Experience deploying models to production environments.
• Preferred: Experience with IoT data or utility operations.

Education
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or
related quantitative field, or combination of education and equivalent experience.

Location: Duluth, GA

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