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Computer Science Data Science Jobs in Ontario (NOW HIRING)

Syntronic

Senior Data Science Specialist

Waterloo, ON

CA$120K - CA$137K/yr

We are seeking a Senior Data Science Specialist to transform raw data into actionable business intelligence. In this role, you will leverage advanced math, statistics, and machine learning to predict ...

Nokia

Data Science Co-op/Intern

Kanata, ON · Hybrid

Currently a candidate for a bachelor's degree or diploma in Computer Science, Electrical ... Data science training or experience with big data analysis and visualization. * Interest and ...

Geotab

Senior Data Scientist

Oakville, ON

Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset). * Proven experience building and deploying computer vision or video ...

Rakuten Shop Style

Director, Data Science

Toronto, ON · On-site

Rakuten Rewards is seeking a Director of Data Science to lead our centralized data science organization, influence strategy and drive execution of machine learning and generative AI initiatives that ...

Prep Academy Tutors

Computer Science Tutor

London, ON · On-site

Join the Prep Academy Tutors Team Where Passion Meets Opportunity! At Prep Academy Tutors , we're on a mission to ignite the love of learning and help students achieve their fullest potential. We're ...

Sanofi

Data Scientist

Toronto, ON

Bachelor's in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field. Masters preferred. * 3+ years of professional experience as a Data Scientist applying AI/ML ...

Sanofi EU

Data Scientist

Toronto, ON

Bachelor's in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field. Masters preferred. * 3+ years of professional experience as a Data Scientist applying AI/ML ...

Manulife

Data Scientist

Toronto, ON · Hybrid

Master's degree or PhD degree in quantitative fields such as Statistics, Applied Mathematics, Data Science, Engineering, or Computer Science or Physics. Preferred Qualifications: * Experience in ...

Manulife

Associate Data Scientist

Toronto, ON · Hybrid

CA$80.63K - CA$134.38K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. * 0-3 years of hands-on experience in data science, machine ...

Canadian Tire

Senior Data Scientist

Toronto, ON

S degree in Statistics, Engineering, Computer Science or a related field 3+ years of relevant work experience Experience with data science disciplines, including hypothesis testing, statistical ...

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Senior Data Science Specialist

Syntronic

Waterloo, ON

CA$120K - CA$137K/yr

Full-time

Posted 2 days ago

Job description

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!

Who are we?:
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.

What we're 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 a Senior Data Science Specialist to transform raw data into actionable business intelligence. In 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 lifecycle-from understanding business requirements to designing scalable, automated models that support data-driven decision-making across the organization. 

What you'll 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 you'll 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), and BigQuery.

  • 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.
$120,000 - $137,000 a year
This position is for an active vacancy. 

What you'll 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 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.
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.
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