Data Scientist
Job in
Burlington, Middlesex County, Massachusetts, 01805, USA
Listed on 2026-01-12
Listing for:
Matrixspace
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
- Build, train, and optimize ML model architectures to improve performance and scalability.
- Develop and deploy machine learning models aligned with program and product objectives.
- Research, evaluate, and refine sensor processing algorithms under the direction of the Lead Data Scientist.
- Enhance sensor data collection, transformation, and annotation pipelines.
- Innovate methods for real-world data acquisition and labeling.
- Train, test, and evaluate models; document findings and propose improvements.
- Work with cross-functional teams to define, develop, and integrate models and data processing pipelines.
- Hands-on experience with computer vision and deep learning projects.
- Strong understanding of deep learning algorithms and architectures (CNNs, object detection, segmentation, etc.).
- Proficiency in Python and experience with C/C++ for performance-critical tasks.
- Expertise with ML frameworks:
PyTorch, Tensor Flow, Keras. - Proficiency with data libraries:
Num Py, Pandas. - Experience training models with real-world data, including data collection and annotation.
- Experience optimizing models for edge computing (quantization, pruning, ONNX, Tensor
RT). - Familiarity with MLOps tools or workflow automation (e.g., MLflow, Weights & Biases, Airflow).
- Ability to analyze datasets, interpret model performance, and debug ML workflows.
- Experience with automated training and testing pipelines.
- Strong analytical and problem‑solving skills with the ability to explain findings clearly.
- Excellent written and verbal communication skills.
- Knowledge of sensor fusion, time-series data, or other advanced signal processing techniques.
- Experience with Sage Maker, Bedrock
- Experience deploying models into production‑grade systems or embedded devices.
- Exposure to cloud platforms (AWS/GCP/Azure) for ML training or deployment.
- Experience working in a startup environment, adapting to fast‑paced and evolving requirements.
- MS or PhD in Machine Learning, Data Science, Computer Science, Engineering, Applied Math, or a related field.
- Passion for working with real‑world data and deploying models into production environments.
- This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be U.S. citizens or lawful permanent residents (Green Card holder).
- Contribute directly to the core AI technology at a high‑growth startup.
- Work on cutting‑edge ML challenges with real‑world impact.
- Collaborate with a skilled, multidisciplinary team of engineers and scientists.
- Enjoy a culture that values creativity, experimentation, and technical excellence.
- Competitive compensation with opportunities for rapid growth and ownership.
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