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Iot Data Scientist Jobs (NOW HIRING)

neptune technologies

Data Scientist

Duluth, GA

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.

Neptune

Data Scientist

Duluth, GA · On-site

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.

AIT Global, Inc.

Data Scientist

Grand Prairie, TX · On-site

Data Scientist Location: Grand-Prairie, TX Experience with MES and SCADA is preferred but not ... IoT data using Spark, Kafka, Airflow, and Delta Lake. Proficient in scikit-learn, TensorFlow, or ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing ... This position involves working with large-scale IoT data from millions of water meters, developing ...

neptune technologies

Senior Data Scientist

Duluth, GA

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing ... This position involves working with large-scale IoT data from millions of water meters, developing ...

SmartRent

Data Scientist

Phoenix, AZ · On-site

As a Data Scientist at SmartRent, you will work at the intersection of our property technology platform and advanced analytics, transforming complex IoT telemetry, resident behavior signals, and ...

SmartRent

Data Scientist

Phoenix, AZ

As a Data Scientist at SmartRent, you will work at the intersection of our property technology platform and advanced analytics, transforming complex IoT telemetry, resident behavior signals, and ...

SmartRent

Data Scientist

Phoenix, AZ

As a Data Scientist at SmartRent, you will work at the intersection of our property technology platform and advanced analytics, transforming complex IoT telemetry, resident behavior signals, and ...

SmartRent

Data Scientist

Phoenix, AZ

As a Data Scientist at SmartRent, you will work at the intersection of our property technology platform and advanced analytics, transforming complex IoT telemetry, resident behavior signals, and ...

Nagarro

Staff Engineer - Data Scientist

... IoT data using Spark, Kafka, Airflow, and Delta Lake. Proficient in scikit-learn, TensorFlow, or ... Data Science Proven track record building and deploying ML models for predictive maintenance ...

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Iot Data Scientist information

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How much do iot data scientist jobs pay per year?

As of Aug 4, 2026, the average yearly pay for iot data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an IoT data scientist?

An IoT Data Scientist analyzes and interprets data collected from Internet of Things (IoT) devices to derive meaningful insights. They use machine learning, statistical modeling, and big data technologies to process sensor data, optimize operations, and support decision-making. This role requires expertise in data science, cloud computing, and IoT architectures. IoT Data Scientists work across industries like healthcare, manufacturing, and smart cities to improve efficiency and innovation.

What are some common challenges faced by IoT data scientists, and how can they be addressed?

IoT Data Scientists frequently deal with challenges such as managing vast amounts of real-time sensor data, ensuring data quality, and integrating diverse data sources from various IoT devices. It is also common to encounter issues related to data security and privacy, as well as handling incomplete or inconsistent data streams. To overcome these challenges, IoT Data Scientists use robust data preprocessing techniques, collaborate closely with engineers and security experts, and apply scalable data processing technologies. Proactively developing strong domain knowledge and staying current with IoT trends also helps address evolving technical hurdles in this rapidly changing field.

What are the key skills and qualifications needed to thrive as an IoT data scientist?

To thrive as an IoT Data Scientist, you need expertise in data analysis, machine learning, and statistics, as well as a strong understanding of IoT architectures and sensor data. Familiarity with tools such as Python, R, SQL, cloud platforms, and big data frameworks (like Apache Spark), along with certifications in data science or IoT, is highly valued. Strong problem-solving skills, curiosity, and effective communication are crucial for translating complex findings into actionable insights and collaborating across teams. These skills and qualities are essential for deriving value from IoT data, ensuring system integration, and enabling data-driven decision-making in connected environments.

More about Iot Data Scientist jobs
What cities are hiring for Iot Data Scientist jobs? Cities with the most Iot Data Scientist job openings:
What states have the most Iot Data Scientist jobs? States with the most job openings for Iot Data Scientist jobs include:
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Iot Data Scientist jobs near you
Infographic showing various Iot Data Scientist job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

neptune technologies

Duluth, GA

Full-time

Re-posted 16 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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