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Overnight Python Data Science Jobs in Montreal, QC

Kunai

Senior Software Engineer - Python

Montreal, QC · On-site

Location: Montreal, Quebec - Onsite Work Required We are looking for a Python/Data Software ... Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline.

Targeted Talent

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

Data Scientist

Montreal, QC · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

C++ Developer

Montreal, QC · On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Targeted Talent

C++ Developer

Montreal, QC · On-site +1

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Td

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

CA$154K - CA$199K/yr

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ... Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data ...

Synechron

Data Scientist

Montreal, QC · Hybrid

CA$80K - CA$90K/yr

Strong data science and statistical analytics skills. * Strong in problem-solving with innovative mindset * Strong Python development skills * Good communication skills Nice-to-have: It would be ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data ...

Fed IT

Data Engineer

Montreal, QC · Hybrid

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data ...

GIRO, Inc.

Junior Data Scientist

Montreal, QC · On-site +1

In addition to working in an agile environment, a career in data science at GIRO means: * Analyzing ... You enjoy and are highly proficient in Python and C++ programming. * Excellent communication skills ...

Intact Financial

Senior Data Scientist

Montreal, QC

Keep abreast of the latest trends and methodologies in data science and integrate them into your ... R, Python, GitHub. * Team spirit: Strong enthusiasm for collaborative teamwork. * Problem-solving:

Valnet Inc.

Valnet | Data Scientist

Montreal, QC · On-site

Strong expertise in Python, SQL, and data visualization tools. * Experience with Google Analytics ... Preferred Qualifications: * 3-5+ years of experience in a data science or analytics role.

TouchTunes

Senior Data Scientist

Montreal, QC

Use data science techniques to find data patterns, anomalies, and optimization opportunities ... Jupyter, Databricks, and familiarity with SQL, Python (including standard DS libraries like Pandas ...

Artefact

Senior Data Scientist

Montreal, QC

Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code ... data science thinking on the planet - while building something meaningful right here in Canada. You ...

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Overnight Python Data Science information

What are Overnight Python Data Science jobs?

Overnight Python Data Science jobs involve working night shifts to perform data analysis, build models, or process data using Python programming. These roles may include tasks like cleaning datasets, running automated pipelines, and generating reports for teams that operate on a 24-hour cycle. Such positions are common in industries that require round-the-clock data monitoring or support, such as finance, healthcare, or IT operations. Professionals in these roles typically have experience with Python, data science libraries, and may collaborate with global teams across different time zones.

What are the main challenges of working as an Overnight Python Data Science professional, and how can I succeed in this role?

Working as an Overnight Python Data Science professional often means handling data pipelines, model monitoring, and urgent troubleshooting during hours with limited team support. The main challenges include quickly resolving unexpected data issues, maintaining high attention to detail during late hours, and communicating findings to daytime teams. Success in this role relies on strong problem-solving skills, proactive communication (such as clear shift handovers), and the ability to work independently while following established protocols. Building robust documentation and automating regular tasks can also help manage workload and reduce errors.

What are the key skills and qualifications needed to thrive as an Overnight Python Data Science professional, and why are they important?

To thrive as an Overnight Python Data Science professional, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and machine learning concepts, often backed by a degree in a quantitative field. Familiarity with tools such as Jupyter Notebook, Pandas, Scikit-learn, and data visualization libraries, along with experience using databases and cloud platforms, is typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours help you excel in this role. These skills and qualities are vital for efficiently analyzing data, building reliable models, and delivering actionable insights in a time-sensitive, often autonomous overnight environment.

What is the difference between Overnight Python Data Science vs Data Analyst?

AspectOvernight Python Data ScienceData Analyst
Required SkillsPython, data analysis, machine learning, statistical modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote or night shifts, tech-focused companies, data-driven rolesOffice-based or remote, business or marketing departments
Industry UsageTech, finance, e-commerce, healthcareRetail, finance, marketing, consulting

Overnight Python Data Science roles focus on advanced data analysis, machine learning, and programming skills, often requiring night shifts and remote work. Data Analysts typically handle data visualization, reporting, and basic analysis during regular hours. Both roles are essential in data-driven industries but differ in technical complexity and work schedules.

Overnight Python Data Science jobs near you
Senior Software Engineer - Python

Senior Software Engineer - Python

Kunai

Montreal, QC • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Location: Montreal, Quebec - Onsite Work Required

We are looking for a Python/Data Software Engineer with a focus on building and maintaining complex data pipelines and tooling within our global financial services environment. This role primarily supports data engineering, reconciliation processes, and enterprise productivity tooling on platforms serving millions of customers worldwide. 

Key Responsibilities: 

  • Develop, maintain, and optimize ETL pipelines primarily using Python and Informatica. 
  • Design and implement data workflows on Snowflake or comparable cloud data platforms. 
  • Build reliable data reconciliation tools and enterprise automation scripts to support business-critical operations. 
  • Write efficient, maintainable, and well-tested Python code following object-oriented principles. 
  • Develop and optimize complex SQL queries for data extraction, manipulation, and analysis. 
  • Automate the management of data workflows using scripting languages such as Shell, Bash, or PowerShell. 
  • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions that improve data integrity and operational efficiency. 
  • Contribute to best practices around code quality, testing, and deployment. 

Required Skills & Experience: 

  • Strong proficiency in Object-Oriented Python development. 
  • Experience designing and executing ETL processes, preferably with Informatica. 
  • Hands-on experience with modern cloud data warehouses such as Snowflake, Redshift, or BigQuery. 
  • Solid SQL skills for complex query writing and performance optimization. 
  • Proficiency in scripting languages like Shell, Bash, or PowerShell. 
  • Understanding of data modeling, data pipeline optimization, and distributed data processing concepts. 
  • Familiarity with software development best practices, source control, and CI/CD pipelines. 
  • Experience working in Agile environments. 
  • Full working proficiency with English (Written and Verbal) 

Preferred Qualifications: 

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline. 
  • Prior experience in financial services, especially with data reconciliation or risk-related data workflows 

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