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Iot Data Science Jobs (NOW HIRING)

$93K - $112K/yr

... Industrial IoT data sources , and modern data engineering practices. * Design, develop, and ... Bachelor's orMaster's Degree in Computer Science, Data Science, Engineering, or a related field.

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 ...

Data Scientist, Mid

Washington, DC · On-site

$105.60 - $176/hr

Join us as we use data science for good in building this capability. Join us. The world can't wait ... Are you fascinated by the possibilities presented by the IoT, machine learning, and artifi cia l ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

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 ...

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 ...

Senior Data Engineer

$108K - $147K/yr

IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables ... Samsara is seeking a Senior Data Engineer to join our Data team, comprising both Data Scientists ...

Data Scientist

Sumter, SC · On-site

$99 - $225/hr

On our team, you'll use your leadership skills and data science expertise to create real-world ... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ...

New

Data Scientist, Mid

Arlington, VA · On-site

$77.60 - $176/hr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * Experience ... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ...

Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy ... outputs, IoT, ad-tech, or large-scale consumer platforms) * Strong grounding in statistics ...

Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain ... Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field

... IoT, industry, consumer goods, financial services, and non-profit organizations). * Apply ... Data Scientist and proficient with Python and SQL. * Experience with visualization tools such as ...

New

In this role, you will apply data science techniques and methods and leverage a suite of data ... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ...

Showing results 41-60

Iot Data Science information

See salary details

$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
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.

$93K - $112K/yr

Full-time

Medical, PTO

Posted 4 days ago


Job description

The Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines, databases, and analytics platforms that support cloud-based digital applications for food and beverage processing plants. Working closely with Product Owners, Software Developers, Automation Engineers, and Process Experts, this role enables advanced analytics, AI solutions, predictive maintenance, asset performance monitoring, and operational reporting. This position can be based in Alcobendas (Spain), Naas (Ireland) or Bogota (Colombia), depending on the selected candidate.

Responsibilities / Tasks

  • Design, develop, and maintain data solutions leveraging Microsoft Azure, Databricks, InfluxDB, Industrial IoT data sources, and modern data engineering practices.
  • Design, develop, and maintain ETL/ELT pipelines to support data integration and analytics.
  • Design data models, relationships, and schemas that support analytics, reporting, machine learning, and digital products.
  • Develop API-based integrations using REST services and JSON.
  • Establish standards for data quality, governance, security, and lifecycle management.
  • Ensure data architectures are scalable, reliable, and aligned with enterprise standards.
  • Support the integration of operational and equipment data from industrial systems into enterprise and cloud platforms.
  • Collaborate with cross-functional teams to deliver data-driven solutions and enable business value through analytics and AI.

Your Profile / Qualifications

Educational Background
  • Bachelor's orMaster's Degree in Computer Science, Data Science, Engineering, or a related field.
  • Microsoft Azure or Databricks Certifications.
Professional Knowledge & Experience
  • 3-7 years of experience in Data Engineering, Cloud Data Platforms, or Analytics Solutions.
  • Experience developing Azure cloud-based data solutions.
  • Experience working with large volumes of time-series and industrial data.
  • Strong knowledge of:
    • Data Modelling
    • Data Governance
    • Metadata Management
    • Time-Series Database Design
    • Query Optimization
    • Workflow Orchestration
    • REST APIs
  • Proven experience working in Agile/Scrum environments.
  • Awareness of IEC 62443 standards.
  • Desirable knowledge of Machine Learning, AI, and Data Science concepts, with experience supporting AI-driven analytics solutions.
  • Fluent English (B2/C1) required.
  • Spanish or German would be considered a strong advantage.
Skills & Competencies
  • Strong ethics, compliance, and professionalism
  • Commitment and alignment with business strategies and policies
  • Customer-focused and sustainability-oriented mindset
  • Cross-functional and multidisciplinary collaboration
  • Excellent communication and networking skills
  • Strong listening skills and cultural awareness
  • Strong analytical, problem-solving, and decision-making skills
  • Continuous improvement mindset and commitment to innovation
  • Adaptability and willingness to learn new tools, technologies, and methodologies

We offer

  • Attractive compensation package aligned with experience & responsibilities

  • Private health insurance plan

  • Employee Assistance Program

  • Flexible working hours and a hybrid working model

  • 23 days of vacation per year

  • Great work environment as part of a collaborative team

  • Continuous internal training and career development opportunities, both nationally and internationally

  • The opportunity to join a company recognized as a Top Employer 2026

Did we spark your interest?
Then please click apply above to access our guided application process.