1

Contract Python Data Science Jobs in Toronto, ON

Proficiency in Python and associated data science technologies * Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools * Expertise in SQL or NoSQL databases preferred ...

... 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 ...

This is a hands-on, engineering-heavy data-science role: you build and ship your own models. Where ... Python and SQL * Google Cloud Platform * BigQuery and modern data tooling * PyTorch, HuggingFace ...

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 ...

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 ...

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 ...

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 ...

D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related ... Proficiency in programming languages such as Python and experience with machine learning libraries ...

Lead client consultations as the primary data science expert, translating complex statistical ... Expert-level proficiency in statistical programming (Python or R) with ability to write production ...

D. in Computer Science, Data Science, Statistics, Engineering, or a related field. * 5+ years of ... Proficiency in programming languages such as Python and experience with machine learning libraries ...

Showing results 41-60

Contract Python Data Science information

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

AspectContract Python Data ScienceContract Data Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistical skills
Work EnvironmentTech companies, consulting firms, startupsCorporate, finance, marketing, healthcare sectors
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications
Job FocusDeveloping models, advanced analytics, predictive insightsData cleaning, reporting, descriptive analysis

Contract Python Data Science roles typically involve building predictive models and advanced analytics using Python, while Contract Data Analysts focus on data cleaning, reporting, and visualization. Both roles require strong analytical skills but differ in technical complexity and focus areas.

What are the most commonly searched types of Python Data Science jobs in Toronto, ON?

The most popular types of Python Data Science jobs in Toronto, ON are:

What job categories do people searching Contract Python Data Science jobs in Toronto, ON look for?

The top searched job categories for Contract Python Data Science jobs in Toronto, ON are:

Infographic showing various Contract Python Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 78% In-person, and 22% Remote job distribution.

Data Scientist

Epistemix

Toronto, ON • Remote

Full-time

Medical, Retirement

Re-posted 13 days ago


Job description

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.

About Epistemix

The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.

We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.

Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.

Responsibilities

Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact

  • Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making

  • Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases

  • Provide guidance for proposals on feasibility of scope and how to ensure impact

  • Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform

  • Engage with customer users to provide informal support, tips, and troubleshooting

  • Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans

  • Participate in reviews with customers to document and improve measurable impact

  • Provide feedback to Product and Sales teams to align offerings with customer needs

  • Follow advancements in data science, machine learning, and healthcare analytics

Qualifications
  • Commitment to understanding customer needs and helping them achieve goals

  • Creative mindset with a passion for tackling challenging problems with data

  • Ability to collaborate with diverse users and internal teams

  • Strong communication skills: verbal, code, visualizations, and maps

  • Strong foundation in machine learning, data modeling, and predictive analytics

  • Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred

  • Comfort working in a dynamic environment with evolving priorities and customer needs

  • Proficiency in Python and associated data science technologies

  • Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools

  • Expertise in SQL or NoSQL databases preferred

  • 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)

  • Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field

  • Experience with more than one company size or business stage preferred

  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Why Join Epistemix?

By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

  • Equity & Incentives – Participation in our stock option program.

  • Flexible Time Off – Autonomy to manage your schedule and work-life balance.

  • Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).

  • Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.