Data Scientist

At Index Exchange,we’rereinventing 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. Our platform is vertically integrated from servers to networks and runs on our own metal and cloud infrastructure. From moving petabytes of data andoptimizingwith AI to making real-time infrastructure decisions, Indexers have the agency and influence to shape the future of advertising. 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. A pragmatic data science technologist: 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 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 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) ~ Demonstrated history of enabling advanced data modeling-based guidance for technology development ~ 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; 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 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 Employee assistance program One day of volunteer time off per year and a donation-matching program Monthly town halls and regular community-led team events 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. Accessibility for applicants with disabilities Index Exchange welcomes and encourages individuals with disabilities to apply to work with us. Our corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, San Francisco, and many other global cities. Automated tools including artificial intelligence may be used toassistin screeningandassessingapplicants for this role.