Senior Data Scientist

Index Exchange; Toronto; On-site; CAD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision plans

Paid time off and flexible work schedules

Competitive retirement matching plans

Equity packages

Annual well-being allowance

Employee assistance program

Diversity and inclusion programs

Job summary

Index Exchange in Toronto is seeking a Senior Data Scientist to lead the technology strategy for machine learning and optimization. The role involves designing complex data-centric solutions and collaborating with engineering teams to enhance programmatic efficiency.

Applicants should have at least 5 years of experience in data science, a strong statistical background, and proficiency in Python. The position offers comprehensive health plans and a commitment to building a diverse, equitable, and inclusive workplace.

Qualifications

• 5+ years of experience in data science or machine learning environments.
• Strong statistical skills with a track record of using statistical methods.
• Expertise in the application of data science at industry scale.

Responsibilities

• Guide the technology strategy for machine learning and optimization.
• Design and implement data-centric solutions including segmentation and feature generation.
• Monitor production performance and KPIs.

Skills

Statistical methods

Machine learning

Python

Data analysis

Education

Bachelor's or Master's in Mathematics, Computer Science, or Engineering

Tools

Python libraries (pandas, numpy, SciKit)

Job description

At Index Exchange, we’re reinventing how digital advertising works—at scale. As a global advertising supply-side platform, we empower the world’s leading media owners and marketers to thrive in a programmatic, privacy-first ecosystem. 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 8.5 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs primarily 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 Senior 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.

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 optimisation
• 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

• Bachelors or Masters in Mathematics, Computer Science, Engineering, or equivalent
• 5+ 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

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
• Commuter benefits and discounts, where available
• 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
• Bi-weekly 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.