Top 365 Data scientist Jobs in Marietta, Ga

Senior Data Scientist
Neptune Technology Group Inc. —Duluth, GA
- Computer Science
- 5 years
- Master's degree
Data Scientist
Neptune Technology Group Inc. —Duluth, GA
- Azure
- Computer Science
- Mid-level
Senior Data Scientist - AI Trainer
DataAnnotation —Georgia
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- 3 years
- Flexible schedule
Quick Apply
12d
Experimentation Analyst - AI Trainer
DataAnnotation —Atlanta, GA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
12d
Data Scientist
Kemper Insurance —Alpharetta, GA
- $93,500 - $155,200 a year
- Urgently hiring
- Hybrid work
- Mid-level
- Office
- AWS
- Health insurance
- Dental insurance
Quick Apply
8d
Data Scientist
Emory Healthcare —Atlanta, GA
- $57.74 - $71.74 an hour
- Full-time
- Master's degree
- Bachelor's degree
- Mentoring
- Wellness program
- Health insurance
Data Scientist
Revenue Analytics —Atlanta, GA
- $95,000 - $110,000 a year
- Full-time
- Computer Science
- SQL
- Python
Data Scientist
4P Consulting Inc. —Atlanta, GA
- Full-time
- Senior level
Quick Apply
AI Training Generalist (No Prior Experience Needed) - Freelance AI Trainer Project
Meridial —Atlanta, GA
- $20 an hour
- Remote
- No experience needed
- US work authorization
- Entry level
Data Scientist 1
4P Consulting Inc. —Atlanta, GA
- Email
- Computer Science
- Mid-level
- Master's degree
- Health insurance
Quick Apply
Machine Learning Scientist
Saince, Inc. —Alpharetta, GA
- Software development
- Senior level
- Radiology
- Health insurance
- Dental insurance
Quick Apply
DATAS2 Data Scientist 2
4P Consulting Inc. —Atlanta, GA
- Full-time
- Organizational skills
- Senior level
Quick Apply
Data Scientist II
Scribd, Inc. —Atlanta, GA
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
Data Scientist
LexisNexis Risk Solutions —Alpharetta, GA
- $95,300 - $158,800 a year
- Full-time
- Computer science
- Computer Science
- 3 years
3d
Data Scientist
CPC Technologies LLC —Kennesaw, GA
- Full-time
- Computer science
- Computer Science
- Mid-level
Data Scientist - AI/ML (Atlanta, GA)
Spartan Technologies —Atlanta, GA
- 7 years
- Travel
- Mentoring
Direct Hire Public Notice - Data Scientist
US Nuclear Regulatory Commission —Atlanta, GA
- $74,678 - $197,200 a year
- Part-time
- Background check
- Management
- Computer Science
- Commuter assistance
- Paid holidays
Data Scientist 2 4P/187
4P Consulting Inc. —Atlanta, GA
- Full-time
- Computer Science
- 5 years
- Master's degree
Quick Apply
Senior Data Scientist
CVS Health —Atlanta, GA
- $83,430 - $203,940 a year
- Full-time
- Computer Science
- 3 years
- Master's degree
- Health insurance
- Dental insurance
Data Scientist
RELX —Alpharetta, GA
- $95,300 - $158,800 a year
- Full-time
- Computer science
- Computer Science
- 3 years
3d

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Senior Data Scientist

Neptune Technology Group Inc. -
Duluth, GA

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Job Details

Qualifications

AI models
Performance dashboard reports
Performance monitoring
TensorFlow
Athena
Doctoral degree in statistics
Software engineering
Data visualization software proficiency
Big data projects
Business intelligence
Statistics
Computer Science
Predictive modeling analysis
Continuous Delivery (CD) implementation
Cloud data warehouses
RESTful API
PyTorch
5 years
Design of experiments
Spark
Dashboard creation
NumPy
Predictive maintenance
Dashboard creation support
Amazon SageMaker
Generative models
Agile scheduling
Mathematics
IoT systems
Git

Full Job Description

Position Summary
As a Senior Data Scientist, you will be responsible for designing and implementing machine learning models and data-driven solutions that enhance our water utility intelligence platform and create value for our customers. This position involves working with large-scale IoT data from millions of water meters, developing predictive analytics capabilities, and deploying AI solutions into production environments. You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation initiatives. This role provides direct impact on utility operations, water conservation efforts, and customer service improvements.

Responsibilities

Effectively communicate and articulate decisions, designs, and outcomes to stakeholders at all levels of the organization.
Work with cross-functional teams to deliver high-quality machine learning models and data science solutions.
Understand and enhance requirements defined by Product Management for AI-powered features.
Design and implement machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
Develop and deploy production-ready machine learning pipelines on cloud infrastructure (AWS).
Analyze large-scale time-series data from IoT devices and water utility operations.
Build and optimize data processing workflows using PySpark and distributed computing frameworks.
Create data visualizations and analytics dashboards to communicate insights to stakeholders.
Conduct exploratory data analysis to identify patterns, trends, and opportunities in metering data.
Perform feature engineering and model selection to optimize predictive performance.
Evaluate model performance and implement monitoring solutions for production ML systems.
Collaborate with software engineers to integrate ML models into the Neptune 360 platform.
Provide technical guidance to Product Management on data science capabilities and feasibility.
Document data science methodologies, model architectures, and analytical findings.
Stay current with latest developments in machine learning, AI, and data science best practices.
Mentor junior data scientists and disseminate technical knowledge within the organization.
Review code and model implementations of other team members.
Participate in sprint planning and demonstrate completed work at the end of every iteration.
Work with Python, SQL, PySpark, AWS services (SageMaker, Bedrock, Lambda, Redshift), and ML frameworks.
Contribute to Neptune's AI strategy and identify new opportunities for data-driven innovation.

Experience

5+ years of experience in data science, machine learning, or related analytical roles.
5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
Strong experience with SQL and working with large-scale databases (Redshift, PostgreSQL, MySQL).
Experience with PySpark and distributed computing frameworks for large-scale data processing, including working with common data formats such as JSON and Parquet.
Proven track record of deploying machine learning models to production environments.
Experience with cloud platforms, preferably AWS (SageMaker, Bedrock, Lambda, S3, Redshift).
Experience with time-series analysis and forecasting methods.
Understanding of MLOps practices and model lifecycle management.
Experience building RESTful APIs for model serving.
Strong statistical analysis and experimental design skills.
Experience with data visualization tools and techniques.
Experience working in Agile/iterative development environments.
Ability to communicate complex technical concepts to non-technical stakeholders.
Experience with version control systems (Git) and CI/CD pipelines.
Continued professional self-improvement through courses, certifications, or research.
Preferred: Experience with AWS big data services (Glue, EMR, Athena).
Preferred: Experience with IoT data, utility operations, or water management systems.
Preferred: Experience with generative AI and large language models.

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

Location: Duluth, GA

#HP1

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

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