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Iot Data Science Jobs (NOW HIRING)

Wiliot

Data Solutions Analyst

Plano, TX · On-site

Our battery-free IoT platform brings intelligence to everyday items, enabling real-time visibility ... data science/engineering or equivalent analytical degree · 3-5+ years of experience in data ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Design and implement scalable data architectures to process high-volume IoT sensor data and ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

Architect end-to-end data pipelines processing terabytes of IoT telemetry on Azure Databricks ... Collaborate with data scientists and AI engineers to deliver high-quality, AI-ready datasets that ...

Honeywell

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Design and implement scalable data architectures to process high-volume IoT sensor data and ... Partner with ML engineers and data scientists to implement efficient data workflows for model ...

KPMG

Manager, Data Science

Washington, DC

... IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of ... KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities:

KPMG

Manager, Data Science

Atlanta, GA · On-site

... IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of ... KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities:

KPMG

Manager, Data Science

New York, NY

... IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of ... KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities:

New

KPMG

Manager, Data Science

Philadelphia, PA

... IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of ... KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities:

NITS Solutions

Data and Security Manager

Novi, MI · On-site

... Science, or related field (Master's preferred) • 5-10+ years of experience in cybersecurity, data security, or data governance in analytics environments • Experience with automotive data, IoT ...

KPMG

Manager, Data Science

Boston, MA

... IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of ... KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities:

KPMG

Manager, Data Science

Denver, CO

... IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of ... KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities:

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

Contribute to end-to-end data science projects that improve product performance, customer ... Experience working with IoT or sensor data * Familiarity with Agile development practices Starting ...

Lutron Electronics

Data Scientist

Boston, MA · On-site

Responsibilities : • Contribute to end-to-end data science projects that improve product ... with IoT or sensor data • Familiarity with Agile development practices Company : Lutron ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of ...

TSMC

Facilities Automation (IOT) Engineer

Phoenix, AZ · On-site

... IoT data analytics platforms. Key Responsibilities: As an IoT Engineer, you will be at the ... Master's degree or higher in Electrical Engineering, Computer Science, Computer Engineering ...

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$25K

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How much do iot data science jobs pay per year?

As of Jun 5, 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:

Data Solutions Analyst

Wiliot

Plano, TX • On-site

Full-time

Posted 2 days ago

Job description

Wiliot is transforming the way products are connected to the internet. Our battery-free IoT platform brings intelligence to everyday items, enabling real-time visibility and insights across global supply chains. Backed by leading investors such as Amazon, SoftBank, Qualcomm and PepsiCo, we are building the infrastructure for “Intelligence for Everyday Things”.

About the Role

We are looking for a Data Solutions Analyst to join our delivery teams and work closely with customers on real-world IoT deployments.

In this role, you will be responsible for monitoring, analyzing, and improving the quality and performance of data generated from customer environments. You will work as part of cross-functional Scrum teams, partnering with customers, product, and engineering to ensure successful deployments and meaningful data outcomes.

This is a highly customer-facing, hands-on role that sits at the intersection of data, operations, and product.


Responsibilities

· Work closely with customers as part of ongoing projects and deployments

· Monitor real-time data streams and system performance across customer environments

· Analyze data to identify trends, gaps, and anomalies in performance and data quality

· Investigate issues and perform root cause analysis (e.g. data collection issues, tag placement, configuration gaps, integration issues)

· Translate data into clear, actionable insights for both customers and internal teams

· Build dashboards and visualizations to communicate system performance and business impact

· Partner with FDE, Product, and Engineering teams to improve solutions and close gaps

· Escalate product or data issues and collaborate with internal teams to drive resolution

· Guide customers and field teams on best practices to improve deployment performance and data quality

Requirements

· Bachelor's degree in Math, CS, data science/engineering or equivalent analytical degree

· 3–5+ years of experience in data analysis, technical customer-facing roles, or similar

· Architecture experience in big data, data warehousing, operational analytics and integration.

· Optimize the performance of big data systems to design and implement efficient analytics algorithms.

· Strong Python skills

· Experience with SPARK strongly preferred.

· Visualization tools experience including UI design (Plotly, Tableau, PowerBI, Grafana)

· Understanding of statistical analysis and relational database structures (SQL, Influxdb a plus)

· Strong analytical and quantitative problem-solving abilities

· Excellent interpersonal and communication skills

· Ability to be self-sufficient and execute quickly when given autonomy

· Experience with IoT data streams and business context a plus

· Flexible team player who will thrive in a dynamic, constantly evolving environment


#LI-Hybrid


Requirements:
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