Data Scientist/Signal Processing Engineer

 

Job Overview:

As a Data Scientist specializing in Signal Processing, you will be responsible for developing, implementing and optimizing algorithms for analyzing sensor data, radar, Synthetic Aperture Radar (SAR) and maritime radar data. You will work on a variety of projects that involve extracting meaningful insights from complex signal data to drive innovation and support decision-making. The ideal candidate will have a strong background in signal processing, machine learning and data science, with a proven track record of successful projects in this domain.

 

What will be your responsibilities:

• Algorithm Development: Design, develop and implement advanced signal processing algorithms for analyzing sensor data, radar, SAR and maritime radar data, including object & event & change detection, recognition, segmentation and tracking.
• Data Analysis: Perform in-depth analysis of complex signal data to extract meaningful insights and identify patterns.
• Model Training and Optimization: Train and optimize machine learning models using large datasets of signal data, ensuring high accuracy and performance.
• Data Preprocessing: Perform data preprocessing tasks such as filtering, denoising and normalization to prepare datasets for analysis and modeling.
• Research and Innovation: Stay current with the latest advancements in signal processing, radar technologies and machine learning and apply new techniques to improve existing models and develop new solutions.
• Collaboration: Work closely with data engineers, software developers, product managers and other stakeholders to understand project requirements and deliver effective solutions.
• Performance Evaluation: Evaluate the performance of signal processing algorithms and models using appropriate metrics and techniques and iteratively improve their accuracy and efficiency.
• Deployment: Collaborate with engineering teams to deploy signal processing models into production environments and ensure their robustness and scalability.
• Documentation: Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility.

 

Profile and requirements:

• Education: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, or a related field. A Ph.D. is a plus.
• Experience: 3+ years of experience in data science or signal processing, with a focus on analyzing sensor data, radar, SAR, or maritime radar data.
• Technical Skills:
  • Strong programming skills in Python, as well as MATLAB or C++.
  • Proficiency in signal processing techniques and tools.
  • Experience with machine learning and deep learning frameworks such as TensorFlow, TensorRT, PyTorch, or scikit-learn.
  • Experience with experimentation platforms such as Jupyter Notebooks.
  • Knowledge of radar systems and signal processing techniques specific to radar and SAR data.
  • Familiarity with data preprocessing and feature extraction techniques for signal data.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with focus on Google Cloud.
  • Experience in getting Machine Learning products to production.
  • Basic knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc.
• Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems.
• Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Collaboration: Ability to work effectively in a collaborative, cross-functional team environment.
• Attention to Detail: High attention to detail and a commitment to ensuring the accuracy and quality of work.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.