Senior Data Scientist

Index Exchange•Toronto, ON

1d•Onsite

About The Position

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. 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.

Requirements

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)

Nice To Haves

Familiarity with digital marketing, advertising or analytics is a plus
Work experience in complex system engineering environments is a plus

Responsibilities

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
Bring innovative ideas to address the problems at hand

Benefits

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