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Overnight Python Data Science Jobs in Montreal, QC

This role brings data science into day-to-day product engineering, from instrumentation and ... Experience with Python or R for statistical analysis and data processing. * Hands-on experience ...

... Science, or a related discipline. Technical Skills Fluency in SQL for data querying, transformation, and manipulation. Expertise in Python data stack (e.g., Pandas/Polars, NumPy, Matplotlib)

... Science, or a related discipline. Technical Skills Fluency in SQL for data querying, transformation, and manipulation. Expertise in Python data stack (e.g., Pandas/Polars, NumPy, Matplotlib)

Keep up with the latest trends and methodologies in data science and incorporate them into your ... Python and GitHub. * Machine Learning Expertise: Deep understanding of machine learning theories ...

Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing ... You should be comfortable coding in Python and have experience with Snowflake and AWS platforms.

Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing ... You should be comfortable coding in Python and have experience with Snowflake and AWS platforms.

... science or a related field) and 4 to 6 years of relevant experience Experience in analytics and using large volumes of data. Proficiency in SAS, SAS Viya, SQL and Python and good knowledge of the ...

... computer science or a related field) and 4 to 6 years of relevant experience * Experience in analytics and using large volumes of data. * Proficiency in SAS, SAS Viya, SQL and Python and good ...

... computer science or a related field) and 4 to 6 years of relevant experience * Experience in analytics and using large volumes of data. * Proficiency in SAS, SAS Viya, SQL and Python and good ...

... in data science Proficiency in retail credit products and risk management Proficiency in ... or Python). Your benefits In addition to competitive compensation, upon hiring you'll be eligible ...

... data science * Proficiency in retail credit products and risk management * Proficiency in ... or Python). Your benefits In addition to competitive compensation, upon hiring you'll be eligible ...

... data science * Proficiency in retail credit products and risk management * Proficiency in ... or Python). Your benefits In addition to competitive compensation, upon hiring you'll be eligible ...

Familiarity with data science concepts and programming languages (Python, R) is an asset * Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; * Excellent communication skills with ...

Familiarity with data science concepts and programming languages (Python, R) is an asset * Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; * Excellent communication skills with ...

... data science concepts and programming languages (Python, R) is an asset Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; Excellent communication skills with the ability to ...

Familiarity with data science concepts and programming languages (Python, R) is an asset * Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; * Excellent communication skills with ...

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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.

Principal Data Scientist

Principal Data Scientist

Autodesk

Montreal, QC

Full-time

Posted 21 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 190 rated software companies


Job description

Job Requisition ID #

26WD96264

Autodesk is advancing flagship products such as AutoCAD, Revit, and Forma with cloud-native architecture, scalable data, AI-driven capabilities, and high-fidelity visualization. Visualization Solutions sits at the center of that shift, delivering consistent, modern graphics and interaction across web, mobile, and desktop.

We are seeking a Principal Data Scientist to partner with multidisciplinary Visualization Solutions teams to define and evolve product analytics and applied AI practices. This role brings data science into day-to-day product engineering, from instrumentation and experimentation through advanced analytics and machine learning. You will work on complex, high-scale problems and turn product and platform data into systems and insights that directly shape visualization performance, adoption, and customer experience.

This role reports to the Director, Experience Design, IGS Visualization Solutions.

Responsibilities

  • Drive business and product planning through insights on product usage, adoption, feature utilization, performance, and reliability.
  • Design and implement robust data models and schemas aligned to product and platform needs.
  • Audit existing product, platform, and data systems for completeness and accuracy, and strengthen instrumentation to enable reliable, decision-ready analytics.
  • Build and optimize scalable data pipelines and architectures, including cloud-based ETL processes and large-scale data structures for analytics and machine learning.
  • Develop processes to ingest, transform, and distribute data into internal systems and applications.
  • Partner with engineering and platform teams to[DD1]identify and resolve data quality issues.
  • Create dashboards, analyses, and experimentation frameworks that translate raw data into clear recommendations.
  • Provide rigorous ad hoc analysis to support strategic and operational decisions.
  • Communicate findings clearly to cross-functional stakeholders and senior leaders.

Minimum Qualifications

  • Bachelor's or advanced degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field.
  • Significant experience in data science, advanced analytics, or business analytics roles.
  • Strong expertise in SQL and working with complex, large-scale datasets across multiple sources.
  • Proficiency with analytics and BI tools such as Looker, Tableau, Splunk, Mixpanel, or similar platforms.
  • Experience with Python or R for statistical analysis and data processing.
  • Hands-on experience with big data and cloud-based data environments such as AWS, Redshift, Snowflake, BigQuery, Spark, or similar technologies.
  • Strong systems thinking / Experience building analytics foundations in complex environments.
  • Ability to collect, structure, analyze, and interpret large volumes of data with accuracy and attention to detail.
  • Strong written and verbal communication skills, with the ability to present complex ideas in a clear, actionable way.

Preferred Qualifications

  • Experience in data mining, large-scale analytics, or machine learning in production environments.
  • Experience applying AI or advanced analytics to 3D data, graphics systems, simulation outputs, or complex design and engineering workflows.
  • Experience supporting real-time or interactive applications with data-driven systems.
  • Proven ability to frame ambiguous problems, generate insight, and establish a clear point of view that influences direction.
  • Strong systems thinking / Experience building analytics foundations in complex environments.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982