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Iot Data Science Jobs (NOW HIRING)

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 ...

Sr Data Engineer

Atlanta, GA · On-site

$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 ...

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 ...

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 ...

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 ...

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 ...

... 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 ...

Data Scientist

Boston, MA

$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 ...

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

... 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 ...

... 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 ...

Responsibilities : • Unlock the secrets held by a data set and explore the possibilities of IoT, machine learning, and artificial intelligence. • Use analytical skills and data science knowledge ...

Data Scientist

Boston, MA · On-site

$120K/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 ...

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Iot Data Science information

See salary details

$25K

$112.8K

$201K

How much do iot data science jobs pay per year?

As of Jun 27, 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
Infographic showing various Iot Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, 1% Temporary, 2% Contract, and 1% Nights. 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.
IoT Business Leader, Culligan Connected Solutions

IoT Business Leader, Culligan Connected Solutions

Culligan

Philadelphia, PA • On-site

$170K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Culligan rating

6.4

Company rating: 6.4 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

357th of 419 rated machine equipment manufacturers


Job description

Description:

The IoT Business Leader will lead the strategy, commercialization, and operational execution of Culligan’s Connected Water initiatives. This role is responsible for driving digital transformation across Culligan’s global network by harnessing IoT, data analytics, and connected product ecosystems to enhance customer experience, service efficiency, and recurring revenue growth.

As the champion of Culligan’s IoT Platform, this leader will bridge technology, product, and business strategy—turning connected devices and data into differentiated service offerings and new business models that strengthen Culligan’s leadership in sustainable water solutions.

Specific Job Function:

Strategic Leadership

  • Define and lead Culligan’s IoT business vision, aligning with the company’s global strategy to deliver cleaner, smarter, and more sustainable water experiences.
  • Develop multi-year roadmaps for connected water products, mobile applications, and data services.
  • Translate IoT technology and customer insights into tangible business outcomes, including enhanced service operations and recurring subscription revenue.

Business Growth & Commercialization

  • Drive the go-to-market strategy for Culligan’s connected water offerings, including smart filtration systems, sensors, and digital service platforms.
  • Partner with Product, Marketing, and Dealer Networks to expand adoption of connected solutions across residential, commercial, and industrial markets.
  • Build new revenue streams through data-driven service models, predictive maintenance, and connected subscriptions.
  • Negotiate and manage key technology partnerships in connectivity, cloud, analytics, and customer experience.

Platform & Operations Execution

  • Oversee the end-to-end performance of Culligan’s IoT Platform—device connectivity, cloud infrastructure, data integrity, and user experience.
  • Collaborate with engineering and operations teams to optimize service routes, predictive maintenance, and device uptime using real-time telemetry.
  • Ensure compliance with data privacy, security, and water safety standards across all connected product lines.

Financial & Performance Management

  • Own IoT business unit P&L, delivering on revenue, margin, and customer adoption targets.
  • Establish KPIs for connected customer engagement, system uptime, and lifetime value.
  • Report performance insights and growth opportunities to executive leadership and the Board.

Leadership & Culture

  • Lead and mentor a high-performing IoT team across product management, data science, and platform operations.
  • Foster a culture of innovation, agility, and data-driven decision-making.
  • Serve as Culligan’s external ambassador for Connected Water—participating in industry events and thought leadership forums.

Competencies:

To perform the job successfully, an individual should demonstrate the following competencies in this position:

Customer Focus                          Leadership/Delegation                                 Organization and Planning                                                                                        

Strategic Planning                     Communication                                                    Analytical                                                                                           

Detail Oriented                              Resourcefulness                                                 Judgement/Decision Making

Integrity                                                                                                

Qualifications:

  • Bachelor's Degree in Business, Engineering or related field; MBA preferred
  • 10+ years of experience in IoT business leadership, digital product management, or platform commercialization
  • Deep understanding of IoT architectures (hardware, connectivity, cloud, analytics).
  • Strong business acumen with a track record of turning digital capability into commercial growth.
  • Proven success scaling connected product ecosystems, ideally in water, utilities, home technology, or industrial sectors.
  • Experience leading global initiatives across complex stakeholder networks (dealers, OEMs, service providers).
  • Expertise in subscription models, recurring revenue strategies, and digital customer engagement.

Preferred Experiences:

  • Experience with connected consumer or industrial systems in water treatment, smart home, or energy management.
  • Familiarity with cloud platforms (Azure, AWS IoT Core), data analytics, and machine learning for predictive service.
  • Proven ability to lead digital transformation initiatives across both direct and dealer-based business models

Target Salary Range: $170,000–$200,000 per year. Exact pay will be based on factors including, but not limited to, relevant education, qualifications, certifications, experience, level, geographic location, and business and organizational needs. Full-time positions are eligible for competitive benefits, including paid time off, health, dental, vision, life, disability, and 401(k).


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