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Evening Data Scientist Experimentation Jobs in Toronto, ON

Stripe

Data Scientist

Toronto, ON · On-site

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 work is broad and varied ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

We are looking for a Data Scientist to develop, deploy, and scale machine learning (ML) and AI ... Support best practices in model development, experimentation, documentation, and data governance.

New

Sanofi

Data Scientist

Toronto, ON

Data Scientist Department: Data Science Location: Toronto, ON About the job Ready to push the ... experimentation power faster science and smarter decisions. Here, you'll help build the first ...

Autodesk

Senior Data Scientist

Toronto, ON

CA$107K - CA$156.20K/yr

Develop quasi-experimental frameworks (e.g., difference-in-differences, synthetic controls ... Key Qualifications * 5+ years of experienceand a graduate degreein data science,computer science ...

Lyft

Data Scientist, Safety

Toronto, ON · On-site

Design and analyze online experiments; interpret and communicate results to influence product ... Mentored junior data scientists by providing guidance, feedback, and support to accelerate their ...

Canadian Tire

Data Scientist

Toronto, ON · On-site

CA$57K - CA$88K/yr

Weu2019re looking for a Data Scientist to join our Triangle Data Products team. Youu2019ll help ... Build prototypes, run experiments, and contribute to model evaluation and validation. Work with ...

Canadian Tire

Data Scientist

Toronto, ON · On-site

CA$57K - CA$88K/yr

Weu2019re looking for a Data Scientist to join our Triangle Data Products team. Youu2019ll help ... Build prototypes, run experiments, and contribute to model evaluation and validation. Work with ...

Geotab

Senior Data Scientist

Oakville, ON

Design experimentation frameworks to systematically benchmark model performance across accuracy ... Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field ...

Autodesk

Principal Data Scientist

Toronto, ON

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 ...

New

Hibernian General Insurance

Data Scientist

Toronto, ON

CA$80K - CA$120K/yr

As a Data Scientist on the Fraud Data Science team , you'll work closely with a wide range of ... You'll be involved across the full development lifecycle, from idea generation and experimentation ...

Hibernian General Insurance

Data Scientist

Markham, ON

CA$80K - CA$120K/yr

As a Data Scientist on the Fraud Data Science team , you'll work closely with a wide range of ... You'll be involved across the full development lifecycle, from idea generation and experimentation ...

Clio

Senior Data Scientist

Toronto, ON · Hybrid

CA$160K - CA$184K/yr

Growth Strategy & Experimentation: * Collaborate with the Growth and Insights teams to identify ... Build a scientific culture in the Product team by enabling discussions with data, disseminating ...

Lyft

Data Scientist, Decisions - Verticals

Toronto, ON · On-site

Data Science is at the heart of Lyft's products and decision-making. You will leverage data and ... Design and analyze online experiments, including communicating results, acting on launch decisions ...

Canadiantirecorporation

Data Scientist

Toronto, ON · On-site

Build prototypes, run experiments, and contribute to model evaluation and validation. * Work with ... What You Bring: * 2+ years of experience in data science or applied machine learning. * Strong ...

Canadian Tire

Data Scientist

Toronto, ON · On-site

Build prototypes, run experiments, and contribute to model evaluation and validation. Work with ... What You Bring: 2+ years of experience in data science or applied machine learning. Strong Python ...

Canadian Tire

Data Scientist

Toronto, ON · On-site

Build prototypes, run experiments, and contribute to model evaluation and validation. Work with ... What You Bring: 2+ years of experience in data science or applied machine learning. Strong Python ...

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All JobsEvening Data Scientist Experimentation JobsEvening Data Scientist Experimentation Jobs in Toronto, ON

Evening Data Scientist Experimentation information

What is the difference between Evening Data Scientist Experimentation vs Data Scientist?

AspectEvening Data Scientist ExperimentationData Scientist
Work HoursPrimarily evening shifts, flexible schedulingTypically standard daytime hours
FocusExperimentation, testing new models during off-hoursBroader data analysis, modeling, and reporting
CredentialsSame as Data Scientist (degree, skills)Degree in data science, statistics, or related field
Work EnvironmentData teams, labs, or remoteOffice or remote, collaborative teams

Evening Data Scientist Experimentation focuses on conducting experiments and testing models during evening hours, often to optimize workflows or handle specific projects. In contrast, Data Scientists typically work during standard hours on a wide range of data analysis tasks. Both roles require similar credentials but differ mainly in scheduling and specific focus areas.

What are the most commonly searched types of Data Scientist Experimentation jobs in Toronto, ON? The most popular types of Data Scientist Experimentation jobs in Toronto, ON are:
What are popular job titles related to Evening Data Scientist Experimentation jobs in Toronto, ON? For Evening Data Scientist Experimentation jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Evening Data Scientist Experimentation jobs in Toronto, ON look for? The top searched job categories for Evening Data Scientist Experimentation jobs in Toronto, ON are:
Evening Data Scientist Experimentation jobs near you
Data Scientist

Data Scientist

Stripe

Toronto, ON • On-site

Other

Posted 15 hours ago

Job description

About 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 teamOur 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 work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.What you'll do

We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user  interactions make smart use of our rich data, using  techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

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 + 3 years, MS/MA + 6 years or BS/BA + 8 years of data science/quantitative modeling experience
  • Proficiency in SQL and a computing language such as Python or R 
  • Strong knowledge and hands-on experience in several  of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
  • 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
  • Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
  • A builder's mindset with a willingness to question assumptions and conventional wisdom
Preferred qualifications 
  • Experience deploying models in production and adjusting model thresholds to improve performance
  • Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
  • 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