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Contract Python Data Analysis Jobs in Montreal, QC

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) * Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for ...

Posted today

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) * Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for ...

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) * Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for ...

Posted today

... Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for ...

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) * Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for ...

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow) * Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for ...

Posted today

Contract About the Role We are seeking a Quantitative Developer with strong expertise in ... Advanced Python, including NumPy, Pandas, and SciPy. * Strong experience with data analysis and ...

Contract About the Role We are seeking a Quantitative Developer with strong expertise in ... Advanced Python, including NumPy, Pandas, and SciPy. * Strong experience with data analysis and ...

Showing results 21-40

Contract Python Data Analysis information

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Montreal, QC? The most popular types of Python Data Analysis jobs in Montreal, QC are:
What job categories do people searching Contract Python Data Analysis jobs in Montreal, QC look for? The top searched job categories for Contract Python Data Analysis jobs in Montreal, QC are:

Data Scientist

BRP

Longueuil, QC • On-site

Full-time

Medical, Retirement

Posted 18 hours ago

Posted today


Job description

Be a part of a fast-paced culture and community in a startup-like environment inside one of the most successful organizations in Québec. We are focused on building a highly talented and ambitious team from the ground up that revolutionizes the way we work around Data & Analytics at BRP. We are a team that has the potential to unlock tremendous value for the organization and you have the unique opportunity to be part of it from the beginning.

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills and business insight to our dynamic team. This role is perfect for someone who seeks to blend their understanding of business intelligence with the predictive power of data science to unlock new opportunities for BRP.

YOU’LL HAVE THE OPPORTUNITY TO:

  • Partner with Product Managers, Product Owners, and business stakeholders to surface high-impact opportunities, translating business questions into well-defined analytical and ML problems

  • Design, build, and validate machine learning models and statistical analyses, with clear success metrics tied to outcomes and a strong focus on validity, fairness, and interpretability

  • Plan and execute rigorous A/B tests, experiments, and causal inference studies to validate model performance and measure real business impact

  • Communicate complex findings to non-technical audiences through compelling data storytelling, turning numbers into narratives that drive decisions

  • Stay ahead of rapid developments in foundation models, LLMs, and agentic systems, evaluate their applicability to our context and champion adoption where it creates genuine value

YOU’LL THRIVE IN THIS ROLE IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES:

Education & Experience

  • MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics, or equivalent quantitative field

  • 5+ years of hands-on experience applying data science and machine learning to solve real business problems

  • Demonstrated track record of projects where your work drove measurable business outcomes

Technical Skills

  • Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or TensorFlow)

  • Practical experience with LLM APIs and tools (OpenAI, Anthropic Claude, or similar) for prototyping and implementing AI-powered solutions

  • Solid SQL skills and experience querying data warehouses (Snowflake experience is a plus)

  • Familiarity with at least one end-to-end ML platform (Dataiku, Databricks, Vertex AI or SageMaker) for experimentation and model development

  • Solid grasp of ML fundamentals: model evaluation, cross-validation, hyperparameter tuning, bias-variance tradeoffs, and MLOps principles

STAND OUT WITH…

  • Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning approaches

  • Familiarity with AI agent frameworks and orchestration tools (LangGraph, LangChain, CrewAI, or similar) and agent harness

  • Experience with model explainability techniques (SHAP, LIME) and bias/fairness assessment in production contexts

  • Knowledge of the full MLOps lifecycle: model monitoring, drift detection, and retraining strategies

  • Open-source contributions or publications reflecting thought leadership in data science or AI

  • Experience mentoring junior data scientists or leading analytical initiatives

ACKNOWLEDGING THE POWER OF DIVERSITY

BRP is dedicated to nurturing a culture that invites, connects, and propels the ambitions of people of all backgrounds, profiles, beliefs and experiences. Ultimately, the diversity and uniqueness of our people fuel our ingenuity and set the course for the path ahead!

For this reason, we value diversity and we strive to always push each other forward to build an inclusive workplace where every employee feels like they belong, where they can grow and find meaning.

AT BRP, WHEN WE TALK ABOUT BENEFITS, WE GO ALL IN.

Let’s start with a strong foundation - You want it, we have it:

  • Annual bonus based on the company’s financial results

  • Generous paid time away

  • Pension plan

  • Collective saving opportunities

  • Industry leading healthcare fully paid by BRP

What about some feel good perks:

  • Flexible work schedule

  • A summer schedule that varies by department and location

  • Holiday season shutdown

  • Educational resources

  • Discount on BRP products

WELCOME TO BRP

We’re a world leader in recreational vehicles and boats, creating innovative ways to move on snow, water, asphalt, dirt and even in the air. Headquartered in the Canadian town of Valcourt, Quebec, our company is rooted in a spirit of ingenuity and intense customer focus. Today, we operate manufacturing facilities in Canada, the United States, Mexico, Finland, Australia and Austria, with a workforce made up of close to 17,000 spirited people, all driven by the deeply held belief that at work, as with life itself, it’s not about the destination: It’s about the journey.