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Data Analytics jobs in Waterloo, ON

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    • Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and…
    • Support ERP integrations, reporting, analytics, and data validation to ensure reliable business operations and accurate decision-making.
    • Experience in data analysis and project management.
    • Advise them on using the system’s dashboards and interpreting the data.
    • 2+ years experience in a data analyst, reporting analyst, or customer success analytics role.
    • Provide support for Redshift, guiding customers on querying data,…
    • Core Experience: 7 years of progressive experience in data analytics, with a focus on marketing analytics and media mix modeling within a complex, multi-channel…
    • Analyze client CRM usage and data to identify gaps and improvement opportunities.
    • Conduct data migrations and integrate HubSpot with third-party tools and…
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    • 8+ years of experience in data engineering, data platforms, or analytics.
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    • 8+ years of experience in data engineering, data platforms, or analytics.
    • Manage vendor relationships and external partners supporting data platforms and…
    • Analyze financial and marketplace data to identify growth opportunities and inform strategic decisions.
    • Proficiency in Microsoft Office (Excel, PowerPoint,…
    • Experience with retail systems, cloud technologies, integration tools, or analytics platforms (e.g., POS systems, Azure, API management, Power BI) is considered…
    • Help shape the future of IFRS reporting and financial analytics.
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    • Strong record of utilizing data analysis to inform decision making.
    • Use AI tooling daily to compress your own cycle time - synthesizing customer feedback at…
    • Data-driven tracking: Utilize data from our conversion tracking, UTM parameters, and Google Analytics across all videos, ads, emails, and promotional codes to…
    • Assisting with data analytics and dashboards.
    • Knowledge of data tools (i.e. Tableau, Power BI, Looker Studio, etc).
    • Ability to manage competing deadlines.
    • Deep familiarity with AWS analytics, ML, and GenAI services , including evaluation and monitoring tooling.
    • Through training and coaching, you can improve your…
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Job Post Details

Data Scientist - job post

ATS Automation Tooling Systems Inc.
3.1 out of 5 stars
Cambridge, ON
$88,000–$121,000 a year
You must create an Indeed account before continuing to the company website to apply

Job details

Pay

  • $88,000–$121,000 a year

Location

Cambridge, ON

Benefits

Pulled from the full job description

  • Employee stock purchase plan
  • Dental care
  • RRSP match

Full job description

Data Scientist

WHAT'S IN IT FOR YOU


Benefits:

Compensation: $88,000 - $121,000
Annual Performance-Based Incentive Bonus
5% RRSP match
Stock purchase plan
Starting 3 weeks of vacation
Benefits package (health and dental) + $600 health spending account
Half-Day Fridays
Continuous learning and career growth with global mobility opportunities.
A chance to contribute to something bigger - advancing the future of healthcare through automation.

Qualifications

QUALIFICATIONS:

Education
  • A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial intelligence, Engineering)
  • A Master’s degree is considered beneficial.
Experience
  • Strong experience with the deployment, configuration, and operationalization of Databricks environments, including workspace architecture, cluster management, CI/CD integration, security, governance, and enterprise-scale administration.
  • Experienced in building and managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ingestion frameworks.
  • Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage, RBAC, monitoring/observability, cost optimization, ML/AI enablement, model serving, and secure enterprise data collaboration through Clean Rooms.
  • Proven experience integrating Databricks with enterprise cloud and industrial data ecosystems, including Kafka, SQL databases, APIs, IoT/OT platforms, and cloud environments such as Azure, AWS, and GCP.
  • Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives.
  • Proficiency in programming languages like Python, R, or Java
  • Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy)
  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Experience with databases (SQL, Influx)
  • Knowledge of data warehousing and ETL processes
  • Familiarity with tools like Hadoop, Spark, or Kafka
  • Experience with cloud services such as AWS, Google Cloud, or Azure
  • Understanding of software engineering principles and best practices
  • Experience with version control systems (e.g., Git)
  • Ability to design and implement efficient algorithms and solutions
  • Demonstrated experience in deploying machine learning models to production
  • Experience with data visualization tools and techniques
  • Strong analytical and communication skills
  • Ability to work collaboratively in a team environment
  • Ability to communicate effectively, both orally and in writing
  • A self-starter with the ability to work as part of a team in a fast paced environment with minimal supervision
  • In addition, the following is considered not necessary but beneficial:
o Experience with Agile development practices
o Understanding of automation mechanical, electrical and control systems
o Understanding of machine operation, maintenance, service and troubleshooting
o Understanding of Machine Vision systems and solutions
o Understanding of PLCs and PLC communication
o Exposure and understanding of business intelligence

H&S

HEALTH, SAFETY, AND ENVIRONMENTAL:

  • All employees have the responsibility to work in a safe manner and report any health, safety or environmental concern to their manager or supervisor in a timely manner.
  • Work in compliance with divisional health, safety and environmental procedures
  • Refrain from removing or altering safety devices or guarding unless hazardous energies are controlled through lockout-tagout methods
• Report any unsafe conditions or unsafe acts • Report defect in any equipment or protective device
  • Ensure that the required protective equipment is used for the assigned tasks
  • Attend all required health, safety and environmental training
  • Report any accidents/incidents to supervisor
  • Assist in investigating accidents/incidents
  • Refrain from engaging in any prank, contest, feat of strength, unnecessary running or rough and boisterous conduct

Join our Innovation Center at ATS Corporation - a place to create differentiators with the future in mind. Our Innovation Center is focused on R&D; advancing existing technologies, filling gaps in existing automation products, technologies and processes to give ATS a competitive advantage

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