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Python Data Science Jobs in Ontario (NOW HIRING)

Stripe

Data Scientist, Fraud

Toronto, ON

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Proficiency in SQL and a computing language such as Python or R * Experience in working with cross ...

CIBC

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... You bring 1-5 years of experience with Python and SQL for database querying and data manipulation ...

CIBC US

Manager, Data Science

Toronto, ON · Hybrid

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... You bring 1-5 years of experience with Python and SQL for database querying and data manipulation ...

Td

Full Stack Data Science Engineer

Toronto, ON

CA$120K - CA$154K/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 ...

Manulife

Senior Data Scientist

Toronto, ON · Hybrid

Minimum of 5 years of applicable experience in data science, advanced analytics, machine learning, or AI solution development. * Advanced programming capability in Python, R, or similar analytical ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Qualifications Must-Have * 1+ years of professional data science experience. * Experience at a leading technology, research, or quantitative firm. * Strong command of Python , SQL , statistical ...

New

Future Secure AI

A Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline ... Python experience focused on machine learning and NLP. Knowledge of other software languages is ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead ... Strong programming proficiency in Python, with hands-on experience working with large-scale ...

Charger Logistics Inc

Data Scientist

Brampton, ON

... data science and machine learning/AI, delivering production-grade ML solutions. * Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost ...

New

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

... data science and machine learning/AI, delivering production-grade ML solutions. * Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost ...

New

Stripe

Data Scientist, Link

Toronto, ON

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... Proficiency in SQL and Python * Experience in working with cross-functional teams to deliver ...

Capital One

Senior Manager, Data Science

Toronto, ON · On-site

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Senior Manager, Data Science About ... data analysis (Python, Scala, or Java) * At least 7 years of experience with version control ...

New

Scotiabank

Senior Data Scientist

Toronto, ON · On-site +1

Strong foundation in machine learning, statistical modeling, and data science , including experience with generative AI systems. * Hands-on expertise in Python and SQL , with experience working with ...

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

Advanced expertise in Python for statistical modeling, data science, and graphical visualization (e.g., Matplotlib, Seaborn, or Plotly), with hands-on experience using core ML libraries including ...

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Python Data Science information

See Ontario salary details

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$135K

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How much do python data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for python data science in Ontario is $135,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $171,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python data science position?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What does a Python data science do?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python data science?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What are popular job titles related to Python Data Science jobs in Ontario?

For Python Data Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Python Data Science jobs in Ontario look for?

The top searched job categories for Python Data Science jobs in Ontario are:

Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,015 per year, or $64.9 per hour.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Toronto, ON • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve Pricing techniques.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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