Paris, On Data scientist Jobs – 4 Openings This Week

Data Scientist
ATS Automation Tooling Systems Inc. —Cambridge, ON
- $88,000–$121,000 a year
- Azure
- Computer Science
- Engineering
- Employee stock purchase plan
- Dental care
11d
Analytics and Process Improvement Specialist - Challenger (Cambridge)
Challenger Motor Freight Inc. —Cambridge, ON
- $70,000–$90,000 a year
- Full-time
- Microsoft Excel
- Data analysis skills
- Microsoft Office
Sr. Manager, Technical Architect – Enterprise AI Solutions
Canadian Solar Inc. —Kitchener, ON
- Full-time
- Azure
- Computer Science
- DevOps
- Dental care
- Paid time off
Quick apply

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Analytics Engineer
Dialpad —Kitchener, ON
Bachelor's degree in a technical or business field. Advanced SQL development skills for data exploration and analysis.
$86,000–$108,500 a year
Quick apply

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Data Analyst
Recruiting in Motion —Concord, ON
Post-secondary education in engineering, data science, or a related field. This is an excellent entry-level opportunity for someone with strong technical and…
Quick apply
17h
Data Scientist II
Intact —Ajax, ON
Degree in a relevant discipline (e.g., mathematics, engineering, operations research, statistics, geomatics, AI) or an equivalent combination of education and…
$94,200–$115,200 a year

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Data Scientist

ATS Automation Tooling Systems Inc. -
Cambridge, ON

Apply Now

Job details

$88,000–$121,000 a year
11 days ago

Qualifications

TensorFlow
Azure
Business intelligence
Computer Science
PyTorch
Engineering
Spark
NumPy
R
Post-secondary education
Git
Google Cloud Platform
Java
Master's degree
Databases
SQL
Pandas
AWS
Analysis skills
Programmable logic controllers
Machine learning
Version control systems
Unity
APIs
Agile
Kafka
Data visualization
Communication skills
Data warehouse
Python
Hadoop

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

Apply Now

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data scientist jobs in paris, on

Data Scientist

Analytics and Process Improvement Specialist - Challenger (Cambridge)

Sr. Manager, Technical Architect – Enterprise AI Solutions

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Data Scientist

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