Join Syntronic: Where Your Innovation Shapes the Future At Syntronic, we don't just follow industry trends—we set them! Join us in partnering with visionary companies and the brightest minds to turn ground-breaking ideas into reality. Imagine working on cutting-edge telecom advancements, pioneering automotive tech, life-saving healthcare innovations, and next-gen industrial automation. Our projects are diverse, impactful, and at the forefront of technological innovation. Be a part of something extraordinary!
Syntronic is a global leader in design and development, specializing in electronics, electro-mechanics, and software. We’re not just a company; we’re a community of innovators. Our teams work on projects that define the future—from creating state-of-the-art communication systems and autonomous vehicles to advancing IoT solutions that revolutionize everyday life. At Syntronic, your work will make a real difference.
· Collaborate with top-tier clients on transformative, cutting-edge projects. · Engage with and learn from industry leaders · Innovate from concept to completion, ensuring high standards. · Gain international experience on global projects. · Thrive in an entrepreneurial environment that supports new ideas. · Explore multiple sectors like telecommunications, automotive, healthcare, and industrial automation.
Analyze complex datasets to determine the most effective methodologies to meet specific business needs and support executive decision-making.
Design, implement, and validate ML models, hypotheses, algorithms, and experiments using predictive and prescriptive modeling techniques.
Apply data mining, math, and statistical techniques to uncover deep-seated relationships and trends within large-scale datasets.
Design efficient data loading, augmentation, and analysis techniques to ensure the accuracy and robustness of models, specifically focusing on scalability and automation.
Stay at the forefront of the Data Science domain, continuously identifying new tools and techniques to enhance analysis efficiency and model robustness.
Drive the end-to-end implementation of data-intensive applications and pipelines.
7+ years of professional experience in a relevant data science or analytics field.
Microsoft SQL Server, Database Design, Google Cloud Platform (GCP), and BigQuery.
Proficient in ETL (Extract, Transform, Load) processes.
Strong foundation in Statistics and Advanced Analytics.
Experience deploying data pipelines or data-intensive applications in cloud environments using containerization and Infrastructure as Code (IaC).
Professional experience in Java or C# development.
Experience in web application development is a significant plus.
Experience deploying and maintaining machine learning models in production environments (MLOps), including monitoring, retraining, and performance tuning.
Hands-on experience with Python data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
Familiarity with real-time data processing and streaming frameworks (e.g., Kafka, Spark Streaming).
Experience working with large-scale, distributed data systems and optimizing performance for high-volume datasets.
Strong ability to communicate complex analytical insights to non-technical stakeholders, influencing business strategy and decisions.
At Syntronic, our employees are our greatest asset. We foster innovation, collaboration, and excellence, offering opportunities for personal and professional growth. Join a global community that values creativity and diversity.
Ready to Shape the Future with Us? If you’re ready to elevate your career and be part of a team that’s making a real impact, we want to hear from you. Apply today and embark on your journey with Syntronic, where your ideas and innovations can truly make a difference.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Pay
$120k–$137k/yrSchedule
Full-timeIndustry
OtherCategory
OtherJob address
Waterloo