Staff Data Scientist
Toronto (8 Spadina Ave)
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: IN_OFFICE
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingWe’re looking for a Staff Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.
In this role, you will lead high-impact data science initiatives that drive innovation and measurable value.
Design and implement advanced machine learning models for programmatic exchange optimization
Lead large-scale data science projects across cross-functional teams
Design production performance monitoring frameworks and KPIs
Work with ML engineers and architects on production-grade data solutions
Mentor team members and influence the organization's data strategy
From the employer’s posting
We’re looking for a Staff Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.
In this role, you will lead high-impact data science initiatives that drive innovation and measurable value. You will design and implement advanced machine learning models, lead large-scale projects, and collaborate with cross-functional teams to align solutions with business goals. As a senior technical expert, you will mentor team members, contribute to scaling data science capabilities, and influence the organization’s data strategy. This position combines technical excellence with strategic vision, empowering you to shape impactful, data-driven solutions.
You will design and implement advanced machine learning models
lead large-scale projects, and collaborate with cross-functional teams
Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs
Work together with ML engineers and architects to develop production grade data centric solutions
you will mentor team members, contribute to scaling data science capabilities, and influence the organization’s data strategy
What you’ll bring
All qualificationsCore experience
- 7+ years of data science or machine learning experience in applied settings
- Python required, specifically pandas, numpy, SciKit
- Strong statistical skills, especially classification, prediction and time series models
- Experience with operational, internet-scale data science practice
- Bachelor's or Master's in mathematics, Computer Science, Engineering, or equivalent
Qualification wording
7+ years of experience in data science or machine learning environments
Python required, specifically pandas, numpy, SciKit
Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models)
Experience in data science practices in operational environments and internet scale
Bachelors or Master's in mathematics, Computer Science, Engineering, or equivalent
Education & alternatives
- Work experience in complex system engineering environments is a plus - Bachelors or Master's in mathematics, Computer Science, Engineering, or equivalent Why you’ll love working here:
Tools in this posting
- Python
- Scala
- NumPy
- pandas
- scikit-learn
Source — Tool mentions in context
- Expert in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred) - Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus) - Familiarity with digital marketing, advertising or analytics is a plus
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 149 days ago
- Recorded sightings
- 101
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
At Index Exchange, we’re reinventing how digital advertising works—at scale. We are a globally trusted independent supply-side platform, powering intelligent decisioning to maximize value for media owners and deliver stronger outcomes for buyers.
We’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution. Our proprietary tech is trusted by some of the world’s largest brands and media owners and plays a crucial role in keeping the internet open, accessible, and largely free.
We process more than 550 billion real-time auctions every day (in comparison, Google processes about 14 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs on our own metal and cloud infrastructure. This end-to-end infrastructure is designed to provide both stability and agility, enabling us to adapt quickly as the market evolves.
At the core of it all is our engineering-first culture. Our engineers tackle internet-scale problems across tight-knit, global teams. From moving petabytes of data and optimizing with AI to making real-time infrastructure decisions, Indexers have the agency and influence to shape the future of advertising. We move fast, build thoughtfully, and stay grounded in our core values.
About the role:
We’re looking for a Staff Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.
In this role, you will lead high-impact data science initiatives that drive innovation and measurable value. You will design and implement advanced machine learning models, lead large-scale projects, and collaborate with cross-functional teams to align solutions with business goals. As a senior technical expert, you will mentor team members, contribute to scaling data science capabilities, and influence the organization’s data strategy. This position combines technical excellence with strategic vision, empowering you to shape impactful, data-driven solutions.
What we’re looking for:
A pragmatic data science technologist:
- Learn and understand the business vision and market opportunity for the company
- Work backwards from business problems to generate scientific hypotheses to guide development focus and pragmatism
- Use analytical, statistical and database skills to understand large, complex datasets with the aim to increase the programmatic efficiency
- Design, develop, and drive implementation of complex data-centric solutions, including large data set segmentation, transformation, and feature generation
- Clearly articulate research and development hypothesis, decisions and results
- Take part in the process of designing, developing & improving algorithms for automated decision making around programmatic exchange optimization
- Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs
- Work together with ML engineers and architects to develop production grade data centric solutions
- An entrepreneurial spirit with room and expectations to bring innovative ideas to address the problems at hand
Here's what you need:
- 7+ years of experience in data science or machine learning environments that requires the combined application of statistical & technical skills
- Experience in data science practices in operational environments and internet scale, i.e - this is an applied position, rather than a solely research focused one
- Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models)
- Proven ability to demonstrate and articulate complex results to wide technological audience
- Demonstrated history of enabling advanced data modeling-based guidance for technology development
- Experience in cross functional team cooperation to drive pragmatic technological solutions
- Expert in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred)
- Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus)
- Familiarity with digital marketing, advertising or analytics is a plus
- Work experience in complex system engineering environments is a plus
- Bachelors or Master's in mathematics, Computer Science, Engineering, or equivalent
Why you’ll love working here:
- Comprehensive health, dental, and vision plans for you and your dependents
- Paid time off, health days, and personal obligation days plus flexible work schedules
- Competitive retirement matching plans
- Equity packages
- Generous parental leave available to birthing, non-birthing, and adoptive parents
- Annual well-being allowance plus fitness discounts and group wellness activities
- Employee assistance program
- Mental health first aid program that provides an in-the-moment point of contact and reassurance
- One day of volunteer time off per year and a donation-matching program
- Monthly town halls and regular community-led team events
- Multiple resources and programming to support continuous learning
- A workplace that supports a diverse, equitable, and inclusive environment – learn more here
Equal employment opportunity
At Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification—diversity is the human experience. For those who show grit, passion, and humility—Index will welcome you.
Accessibility for applicants with disabilities
Index Exchange welcomes and encourages individuals with disabilities to apply to work with us.
If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.
Index everywhere, Index anywhere
Our corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be.
AI Disclaimer: Automated tools including artificial intelligence may be used to assist in screening and assessing applicants for this role. All hiring decisions involve human review.
Vacancy Status: This posting is for an existing vacancy.
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- Pay
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- Location & working pattern
Toronto (8 Spadina Ave)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Equal employment opportunity At Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification—diversity is the human experience. For those who show grit, passion, and humility—Index will welcome you. Accessibility for applicants with disabilities
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