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Iot Data Science 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.

Neptune

Senior Data Scientist

Duluth, GA · On-site

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 ...

neptune technologies

Senior Data Scientist

Duluth, GA

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 ...

AIT Global, Inc.

Data Scientist

Grand Prairie, TX · On-site

... 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 ...

QTech US Inc

Data Scientist

Grand Prairie, TX · On-site

Grand-Prairie, TX Duration: Long Term project Full-Time Position Data Scientist skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka ...

New

SOLTECH

Data Scientist

Duluth, GA · On-site

... IoT sensor readings each day. You'll play a key role in establishing the organization's reusable ... The ideal candidate combines deep data science expertise with strong machine learning engineering ...

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 ...

PeopleNTech

Data Sciencetist

Grand Prairie, TX · On-site

Data Science Proven track record building and deploying ML models for predictive maintenance ... IoT data using Spark, Kafka, Airflow, and Delta Lake. * Strong communicator able to translate ...

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 ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Experience supporting AI/ML workflows or data science teams * Knowledge of manufacturing, supply chain, or IoT data environments * Experience with Informatica, Databricks, or streaming technologies ...

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All JobsIot Data Science Jobs

Iot Data Science information

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$25K

$112.8K

$201K

How much do iot data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for iot data science in the United States is $112,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What are some typical challenges IoT data scientists face when working with sensor-generated data?

IoT Data Scientists often encounter challenges such as handling large volumes of streaming data from diverse sensors, dealing with missing or inconsistent data, and ensuring data security and privacy. Integrating data from multiple devices and ensuring its quality can be complex, especially in environments with limited connectivity. Effective collaboration with hardware engineers and IT teams is also crucial for addressing data ingestion and preprocessing issues, making strong communication skills important for success in this role.

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

To thrive as an IoT Data Scientist, you need expertise in data analytics, machine learning, and statistical modeling, along with a strong background in computer science, engineering, or a related field. Familiarity with tools like Python, R, cloud platforms (such as AWS or Azure), and IoT-specific frameworks is typically required, and certifications in data science or IoT technologies are advantageous. Strong problem-solving abilities, communication skills, and the ability to work collaboratively across multidisciplinary teams set top performers apart. These skills are vital for extracting actionable insights from vast IoT data streams and driving intelligent, data-driven solutions in connected environments.

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

AspectIot Data ScienceIot Data Analyst
Required SkillsData modeling, machine learning, programming (Python, R)Data visualization, reporting, basic analytics
CertificationsData Science certifications, Python/R coursesData analysis certifications, Excel, SQL
Work EnvironmentDeveloping models, advanced analytics, researchInterpreting data, creating dashboards, reporting
Industry UsageDesigning predictive models for IoT devicesMonitoring and analyzing IoT data streams

While both roles work with IoT data, IoT Data Science focuses on building predictive models and advanced analytics, whereas IoT Data Analysts primarily interpret data and generate reports. The roles often overlap but differ in technical depth and responsibilities.

What is IoT Data Science?

IoT Data Science is the practice of analyzing and interpreting data generated by Internet of Things (IoT) devices. These devices, such as sensors and smart appliances, collect large volumes of real-time data from the physical world. IoT Data Scientists use statistical methods, machine learning, and data analytics to extract insights, detect patterns, and make predictions that can improve processes, increase efficiency, or enable new services. This field combines expertise in data science, programming, and domain knowledge related to IoT systems.
More about Iot Data Science jobs
What job categories do people searching Iot Data Science jobs look for? The top searched job categories for Iot Data Science jobs are:
Infographic showing various Iot Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,802 per year, or $54.2 per hour.

Data Scientist

neptune technologies

Duluth, GA

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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