Data Scientist
Duluth, GA · On-site
Responsibilities • Collaborate with team members to develop and deploy machine learning models ... Experience with PySpark or distributed computing frameworks. • Preferred: Experience with time ...
Data Scientist
Duluth, GA · On-site
Responsibilities • Collaborate with team members to develop and deploy machine learning models ... Experience with PySpark or distributed computing frameworks. • Preferred: Experience with time ...
Responsibilities • Collaborate with team members to develop and deploy machine learning models ... computing frameworks. • Conduct exploratory data analysis to identify patterns, trends, and ...
Responsibilities • Collaborate with team members to develop and deploy machine learning models ... computing frameworks. • Conduct exploratory data analysis to identify patterns, trends, and ...
In this role, you will develop and deploy machine learning models and advanced analytics solutions ... computing frameworks Perform exploratory data analysis (EDA) to uncover trends, patterns, and ...
In this role, you will develop and deploy machine learning models and advanced analytics solutions ... computing frameworks Perform exploratory data analysis (EDA) to uncover trends, patterns, and ...
... 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 ...
... 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 ...
... of machine learning and AI architecture to explore ways of using it to develop models for data analysis and automation Assist with the design, coding, and testing of new features in support of the ...
... of machine learning and AI architecture to explore ways of using it to develop models for data analysis and automation Assist with the design, coding, and testing of new features in support of the ...
Senior Data Scientist
Duluth, GA · On-site
... 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 ...
Senior Data Scientist
Duluth, GA · On-site
... 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 ...
... of machine learning and AI architecture to explore ways of using it to develop models for data analysis and automation Assist with the design, coding, and testing of new features in support of the ...
... of machine learning and AI architecture to explore ways of using it to develop models for data analysis and automation Assist with the design, coding, and testing of new features in support of the ...
Post Doctoral Fellow in Machine Learning and Data Science
Flowery Branch, GA · On-site
$44.90K - $61K/yr
... machine learning and data analysis techniques for assessing and modifying injury risk and ... Experience using AWS and other high performance computing platforms * Experience using Databricks ...
Post Doctoral Fellow in Machine Learning and Data Science
Flowery Branch, GA · On-site
$44.90K - $61K/yr
... machine learning and data analysis techniques for assessing and modifying injury risk and ... Experience using AWS and other high performance computing platforms * Experience using Databricks ...
... machine learning and data analysis techniques for assessing and modifying injury risk and ... Experience using AWS and other high performance computing platforms * Experience using Databricks ...
... machine learning and data analysis techniques for assessing and modifying injury risk and ... Experience using AWS and other high performance computing platforms * Experience using Databricks ...
... machine learning and data analysis techniques for assessing and modifying injury risk and ... Experience using AWS and other high performance computing platforms * Experience using Databricks ...
... machine learning and data analysis techniques for assessing and modifying injury risk and ... Experience using AWS and other high performance computing platforms * Experience using Databricks ...
Java MLOps Engineer (Spring + ML Pipelines) - Q125
Alpharetta, GA · On-site
$50.50 - $69.25/hr
... Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from ...
Java MLOps Engineer (Spring + ML Pipelines) - Q125
Alpharetta, GA · On-site
$50.50 - $69.25/hr
... Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from ...
Data Scientist 2 4P/187
Atlanta, GA · On-site
This role requires advanced analytics, machine learning expertise, and strong problem-solving ... Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
Quick apply
Data Scientist 2 4P/187
Atlanta, GA · On-site
This role requires advanced analytics, machine learning expertise, and strong problem-solving ... Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125
Alpharetta, GA · On-site
$111.80K - $134.20K/yr
... Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from ...
ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125
Alpharetta, GA · On-site
$111.80K - $134.20K/yr
... Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from ...
Data Scientist II
Atlanta, GA · On-site
This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Experience with distributed computing frameworks * Experience deploying models in cloud ...
Quick apply
Data Scientist II
Atlanta, GA · On-site
This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Experience with distributed computing frameworks * Experience deploying models in cloud ...
Linear Algebra Tutor
Augusta, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Linear Algebra Tutor
Augusta, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Linear Algebra Tutor
Roswell, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Linear Algebra Tutor
Roswell, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Linear Algebra Tutor
Athens, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Linear Algebra Tutor
Athens, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Linear Algebra Tutor
Johns Creek, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Linear Algebra Tutor
Johns Creek, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Data Science Engineer (Python & Databricks) - Q125
Alpharetta, GA · On-site
$111.80K - $134.20K/yr
... Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from ...
Data Science Engineer (Python & Databricks) - Q125
Alpharetta, GA · On-site
$111.80K - $134.20K/yr
... Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from ...
Linear Algebra Tutor
Alpharetta, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Linear Algebra Tutor
Alpharetta, GA · Remote
$40/hr
... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...
Machine Learning Quantum Computing information
What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?
To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.
How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?
Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.
What is Machine Learning Quantum Computing?
Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What is the difference between Machine Learning Quantum Computing vs Data Scientist?
| Aspect | Machine Learning Quantum Computing | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in quantum computing, machine learning, or related fields | Degree in data science, statistics, or computer science |
| Work Environment | Research labs, tech companies focusing on quantum tech, academia | Business environments, tech companies, consulting firms |
| Industry Usage | Emerging quantum tech industry, research institutions | Finance, healthcare, marketing, e-commerce |
| Common Search/Comparison | Quantum algorithms, quantum machine learning | Data analysis, predictive modeling |
Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.
What are popular job titles related to Machine Learning Quantum Computing jobs in Georgia? For Machine Learning Quantum Computing jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Georgia look for? The top searched job categories for Machine Learning Quantum Computing jobs in Georgia are:
What cities in Georgia are hiring for Machine Learning Quantum Computing jobs? Cities in Georgia with the most Machine Learning Quantum Computing job openings:
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
#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 notice from the Department of Labor.
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
#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 notice from the Department of Labor.