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Data Scientist (Aerospace)

  • Mississauga, ON, Canada

Full-time

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Job details

Job type
Full-time
Experience
4–6 years of professional experience in data science, AI/ML, perception, sensor fusion, autonomous systems, or related engineering.
Posting language
English
Posted

Original job description

SOTI is committed to providing its employees with endless possibilities; learning new things, working with the latest technologies and making a difference in the world.

Who We Are  


At SOTI, we are committed to delivering best-in-class mobile and IoT device management solutions. We are looking for unconventional thinkers who appreciate the art of creating great software.

To us, being visionary is more important than doing things the way they’ve always been done.


What’s In It for You?  
  

The People - From our humble origins in our founder’s basement to our industry-leading position today, SOTI has worked hard to foster a company culture that we can all believe in. A culture that emphasizes personal growth, continuous innovation, and fun.   

The Growth - Our environment fosters new ideas, fresh perspectives, and the ability to take them over the goal line. SOTI is a fast-paced environment with a global reach that encourages you to make your mark and be part of something big!  

The Technology - You’ll get the chance to work with leading-edge technologies and take on complex and interesting projects as part of highly collaborative and agile teams. You will work alongside SOTI’s partners which include leading tech giants that will keep you on the cusp of emerging technologies.  


What We’re Looking For  


We are looking for a Data Scientist, Aerospace with strong ownership of complex model development, multi-sensor analytics, and end-to-end integration for autonomous drones and robotics.

This role owns larger technical work packages, identifies data and model risks earlier, and guides junior contributors through practical delivery.

You will help move models toward repeatable, test-ready AI capabilities that perform reliably across diverse operational conditions.


What You’ll Do  
  

  • Lead defined AI/ML work packages spanning data strategy, modelling, integration, evaluation, deployment, monitoring, and technical documentation.
  • Design perception and sensor-fusion pipelines combining RGB, thermal, depth, LiDAR, radar, IMU, GNSS, telemetry, and environmental data.
  • Select and implement appropriate methods for object detection, segmentation, tracking, pose estimation, localization, mapping support, anomaly detection, forecasting, and decision support.
  • Define dataset coverage plans and simulation or synthetic-data strategies for rare events, difficult environments, and safety-related scenarios.
  • Lead error analysis, ablation studies, uncertainty evaluation, robustness testing, and model-performance trade studies.
  • Optimize models for GPU, NPU, CPU, or embedded platforms using quantization, pruning, compilation, batching, and architecture selection as appropriate.
  • Coordinate integration with autonomy, controls, embedded, cloud, robotics middleware, ground-control, and user-application teams.
  • Establish reproducible training, versioning, experiment-tracking, validation, and release practices for assigned solutions.
  • Investigate data drift, sensor failures, model degradation, false detections, localization errors, and field-test observations using structured root-cause analysis.
  • Mentor Associate, interns, and research contributors.

Experience You’ll Bring  


  • 4–6 years of professional experience in data science, AI/ML, perception, sensor fusion, autonomous systems, or related engineering. 
  • Demonstrated ownership of models or data products from requirements through integration and validation. 
  • Strong experience with Python, deep-learning frameworks, data pipelines, experiment tracking, version control, and Linux environments. 
  • Practical experience with multi-modal data, computer vision, sensor fusion, robotics logs, edge inference, or simulation with ROS2 framework. 
  • Understanding of Kalman filtering, Bayesian estimation, tracking, coordinate transformations, time synchronization, Path planning, navigation and uncertainty is strongly preferred. 
  • Experience with MLOps, containers, CI/CD, model registries, cloud platforms, or embedded deployment is an asset. 
  • Experience mentoring junior contributors and communicating technical trade-offs to senior stakeholders.

About SOTI


SOTI is a proven innovator and industry leader for simplifying business mobility solutions by making them smarter, faster and more reliable. With SOTI’s innovative portfolio of solutions, organizations can trust SOTI to elevate and streamline their mobile operations, maximize their ROI and reduce device downtime. Globally, with over 17,000 customers, SOTI has proven itself to be the go-to mobile platform provider to manage, secure and support business-critical devices. With SOTI’s world-class support, enterprises can take mobility to endless possibilities. For more information, visit soti.net.


At SOTI, we celebrate the uniqueness of our global teams and are proud to be an equal opportunity workplace. We are curious problem solvers who are committed to bringing the best mobile and IoT management solutions to market. We offer careers with #EndlessPossibilities.

If you want to bring your ideas to life, apply at SOTI today.

Use of Artificial Intelligence in Hiring

SOTI uses AI tools to support parts of our recruitment process, such as reviewing resumes, screening qualifications, and creating interview questions. These tools assist our team only-final hiring decisions are made by people, not automation. For privacy-related questions, please contact privacy@soti.net.

We are committed to providing accessible employment practices that are in compliance with the requirements under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation during any stage of the recruitment process, please notify People & Culture at careers@soti.net.

Please note that SOTI does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, SOTI will not consider or agree to payment of any referral compensation or recruiter fee.

More about this job

Responsibilities

The Data Scientist will lead AI/ML work packages for autonomous drones and robotics, covering the full lifecycle from data strategy to deployment. They will design perception pipelines, optimize models for embedded platforms, and mentor junior team members.

Requirements

Candidates must have 4–6 years of professional experience in data science, AI/ML, or autonomous systems with strong ownership of model development. Proficiency in Python, deep-learning frameworks, and experience with multi-modal sensor data or robotics is required.

Skills

  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Python
  • Computer Vision
  • Sensor Fusion
  • Robotics
  • Autonomous Systems
  • Deep Learning
  • ROS2
  • Kalman Filtering
  • Edge Inference
  • MLOps
  • Embedded Systems
  • Data Pipelines
  • Simulation

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Engineering
  • Science & Research

Keywords

  • Data Science
  • Aerospace
  • Artificial Intelligence
  • Machine Learning
  • Autonomous Drones
  • Robotics
  • Sensor Fusion
  • Python
  • Deep Learning
  • LiDAR
  • IMU
  • GNSS
  • ROS2
  • Kalman Filtering
  • Bayesian Estimation
  • MLOps
  • Embedded Deployment
  • Computer Vision
  • Simulation
  • CI/CD
  • Linux
  • Quantization
  • Pruning
  • Telemetry
  • Object Detection
  • Pose Estimation
  • Localization
  • Mapping
  • Anomaly Detection
  • Forecasting

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