Senior Data Science Specialist

Syntronic

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profile Job Location:

Waterloo - Canada

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

Join Syntronic: Where Your Innovation Shapes the Future
At Syntronic we dont just follow industry trendswe 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!

Who are we:
Syntronic is a global leader in design and development specializing in electronics electro-mechanics and software. Were not just a company; were a community of innovators. Our teams work on projects that define the futurefrom 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.

What were looking for:
We are seeking individuals who want to:
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.

We are seeking aSenior Data Science Specialistto transform raw data into actionable business this role you will leverage advanced math statistics and machine learning to predict trends extract meaningful patterns and provide strategic recommendations.

You will be responsible for the entire analytical lifecyclefrom understanding business requirements to designing scalable automated models that support data-driven decision-making across the organization.

What youll do

  • Analytical Strategy:Analyze complex datasets to determine the most effective methodologies to meet specific business needs and support executive decision-making.

  • Model Design & Implementation:Design implement and validate ML models hypotheses algorithms and experiments using predictive and prescriptive modeling techniques.

  • Advanced Analytics:Apply data mining math and statistical techniques to uncover deep-seated relationships and trends within large-scale datasets.

  • Data Engineering Optimization:Design efficient data loading augmentation and analysis techniques to ensure the accuracy and robustness of models specifically focusing on scalability and automation.

  • Research & Development:Stay at the forefront of the Data Science domain continuously identifying new tools and techniques to enhance analysis efficiency and model robustness.

  • Technical Ownership:Drive the end-to-end implementation of data-intensive applications and pipelines.

What youll need to get the job done

  • Total Experience:7 years of professional experience in a relevant data science or analytics field.

  • Database & Big Data:Microsoft SQL Server Database Design Google Cloud Platform (GCP) andBigQuery.

  • Data Movement:Proficient in ETL (Extract Transform Load) processes.

  • Mathematics:Strong foundation in Statistics and Advanced Analytics.

  • Cloud & DevOps:Experience deploying data pipelines or data-intensive applications in cloud environments using containerization and Infrastructure as Code (IaC).

  • Software Development:Professional experience in Java or C# development.

  • Web Development:Experience in web application development is a significant plus.

What will make us REALLY love you

  • 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.
$120000 - $137000 a year
This position is for an active vacancy.

What youll love about us:
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 youre ready to elevate your career and be part of a team thats 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.
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.

Required Experience:

Senior IC

Join Syntronic: Where Your Innovation Shapes the FutureAt Syntronic we dont just follow industry trendswe 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 autom...
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About Company

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We are a leading engineering design house with more than 35 years of experience of working with R&D, NPI, production & aftermarket services.

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