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Manager Reddit Data Science Jobs in Ontario (NOW HIRING)

Stripe

Data Scientist, Fraud

Toronto, ON

... Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead ... Strong stakeholder management skills, with proven ability to work effectively across Product and ...

Larus Technologies

Data Scientist

Ottawa, ON · On-site

Strong interpersonal and relationship-management skills; * Strong active-listening skills and the ability to translate business needs into data science solutions; * Experience managing client ...

Stripe

Data Scientist, Link

Toronto, ON

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions ...

Autodesk

... cost management, and cross-industry growth opportunities * Assist in creating executive ... Bachelor's degree in a relevant field, such as Engineering, Data Science, Statistics, Computer ...

Ontario 407

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

Raise awareness and action of data science within the company to help focus on fact-based decisions. * Support the Department along with the Information Technology Management Department in planning ...

Td

Data Scientist III

Toronto, ON · On-site

... viable data science solutions. * Use a wide range of programing languages (e.g. Python) and ... Actively manage relationships within and across various business lines, corporate and/or control ...

Mackenzie Financial Corporation

CA$49K - CA$51K/yr

Founded in 1926, IG Wealth Management is a key part of IGM's business model, providing ... This position is responsible for supporting the Data Science team in Analytics and Data Engineering ...

New

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

... Lead of Data Science working closely with leadership to align data strategies with business ... You will partner closely with Data Engineers, Product Managers, and Revenue leaders to embed ...

Td

Full Stack Data Science Engineer

Toronto, ON · On-site

CA$120K - CA$154K/yr

Strong relationship management, storytelling, and business communication skills for senior ... advanced analytics, data science, or applied AI/ML in domains such as financial services ...

Td

Data Scientist III

Toronto, ON

... management, next best offer/action, workforce management, conversational IVR and routing ... Lead data science initiatives from business problem definition through planning, solution design ...

Manulife

Senior Data Scientist - GenAI

Toronto, ON · Hybrid

D. in Computer Science, Data Science, Statistics, Engineering, or a related field. * 5+ years of ... control management, build processes, testing, and operations. * Strong collaboration and ...

DAC Group

Senior Data Scientist

Toronto, ON · On-site

Lead client consultations as the primary data science expert, translating complex statistical ... Client & Stakeholder Management * Present findings and recommendations directly to C-suite ...

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Showing results 21-40

All JobsReddit Data Science JobsManager Reddit Data Science JobsManager Reddit Data Science Jobs in Ontario

Manager Reddit Data Science information

What does a manager Reddit Data Science do?

A Manager of Reddit Data Science leads a team of data scientists who analyze Reddit's vast user data to uncover insights, improve user experience, and guide business decisions. They oversee data projects, collaborate with engineering and product teams, and ensure the quality and impact of data-driven solutions. The manager is also responsible for mentoring team members, setting goals, and aligning data science efforts with Reddit's strategic objectives.

How does a manager Reddit Data Science typically collaborate with cross-functional teams to drive data-driven initiatives?

As a Manager of Reddit Data Science, you'll regularly collaborate with product managers, engineers, designers, and business stakeholders to ensure data insights inform key decisions. This involves translating complex analyses into actionable recommendations, leading data-driven experiments, and aligning team priorities with company objectives. You'll also mentor data scientists, foster a collaborative team culture, and facilitate communication between data science and other departments to ensure projects are impactful and aligned with overall strategy.

What are the key skills and qualifications needed to thrive as a manager Reddit Data Science, and why are they important?

To thrive as a Manager, Reddit Data Science, you need expertise in statistical analysis, machine learning, data visualization, and a solid background in computer science or a related field, often supported by an advanced degree. Familiarity with tools like Python, SQL, big data platforms (e.g., Spark), and data visualization software, as well as experience with experimentation frameworks, is typically required. Strong leadership, communication, and project management skills enable effective team guidance and stakeholder collaboration. These skills are crucial for extracting actionable insights from large datasets, leading data-driven projects, and aligning analytics initiatives with business goals.

What is the difference between Manager Reddit Data Science vs Data Scientist Reddit?

AspectManager Reddit Data ScienceData Scientist Reddit
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageTech companies, online platforms, social media firmsTech, finance, healthcare, research organizations

The main difference is that a Manager Reddit Data Science oversees teams and projects, focusing on strategic leadership, while a Data Scientist Reddit primarily conducts data analysis and model development. Both roles require strong technical skills, but the manager role emphasizes leadership and project management.

What are the most commonly searched types of Reddit Data Science jobs in Ontario?

The most popular types of Reddit Data Science jobs in Ontario are:

What cities in Ontario are hiring for Manager Reddit Data Science jobs?

Cities in Ontario with the most Manager Reddit Data Science job openings:

Manager Reddit Data Science jobs near you
Infographic showing various Manager Reddit Data Science job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist, Fraud

Toronto, ON

Stripe
Software Development • 1 - 5K employees
Learn more about Stripeexternal

Full-time

Posted 17 days ago

Job description

Who we areAbout Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust.

What you'll do

We're looking for a Data Scientist to join the Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models from research to production, and you'll use data to surface insights that shape fraud strategy across the business.

Data scientists on this team apply supervised and unsupervised machine learning, statistical modeling, causal inference, optimization, and experimentation to some of the most consequential risk problems in global payments.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements
  • PhD with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience
  • Experience with Fraud, Risk or Financial Crimes
  • Proficiency in SQL and a computing language such as Python or R
  • Experience in working with cross-functional teams to deliver results
  • Ability to communicate results clearly and a focus on driving impact
  • A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
  • Strong business acumen and experience in synthesizing complex analyses into actionable recommendations
  • Proficiency with AI tools to accelerate model development, analysis, and coding
Preferred qualifications
  • Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, causal inference, and experimentation
  • Experience deploying models in production and adjusting model thresholds to improve performance
  • Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
  • A builder's mindset with a willingness to question assumptions and conventional wisdom
  • Experience with distributed tools such as Spark, Hadoop, etc.
  • A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Apply