Senior Data Scientist

About Index Exchange

Index Exchange is revolutionizing digital advertising on a large scale by serving as a global supply-side platform. We empower leading media owners and marketers to succeed in a privacy-first, programmatic ecosystem. With over two decades of pioneering expertise, our proprietary technology is trusted by top brands and helps maintain an open and accessible internet. Our platform handles over 550 billion real-time auctions daily with extremely low latency, running on a fully integrated infrastructure comprising server to network components, hosted on our own hardware and cloud systems. This setup ensures both stability and agility, enabling quick adaptation to market trends.

Our engineering-first culture drives teams to tackle internet-scale challenges, from processing massive data volumes to optimizing AI-driven systems and making real-time infrastructure decisions. Our engineers have significant influence in shaping the future of advertising through thoughtful and rapid innovation grounded in core values.

Role Overview

We are seeking a Senior Data Scientist to leverage extensive experience in applied data science and large-scale optimization. This role involves guiding the technological strategy across the Index Exchange platform concerning machine learning and optimization, as well as leading practical execution and continuous enhancement.

Key Responsibilities

• Understand the company's business vision and market potential deeply.
• Translate business challenges into scientific hypotheses that direct development focus and encourage pragmatic solutions.
• Analyze large and complex datasets using analytical, statistical, and database skills to improve programmatic efficiency.
• Design, develop, and implement sophisticated data-centric solutions, including segmentation, transformation, and feature engineering for large datasets.
• Communicate research hypotheses, decisions, and outcomes clearly to stakeholders.
• Contribute to the design and development of algorithms driving automated decision-making for programmatic exchange optimization.
• Help establish performance monitoring frameworks and key performance indicators for production environments.
• Collaborate closely with machine learning engineers and architects to build production-grade, data-focused solutions.
• Bring innovative ideas driven by an entrepreneurial spirit to solve complex problems effectively.

Required Qualifications and Skills

• A Bachelor's or Master's degree in Mathematics, Computer Science, Engineering, or a related field.
• At least 5 years’ experience in data science or machine learning, applying both statistical and technical skills in operational, production environments.
• Proven background in handling data science applications at internet scale rather than purely research-focused roles.
• Advanced knowledge of statistical methods with experience especially in classification, prediction, and time series modeling.
• Skill in presenting complex scientific results clearly to broad technical audiences.
• History of leveraging advanced data modeling to guide technology development effectively.
• Track record working successfully in cross-functional teams to deliver pragmatic technology solutions.
• Expertise in practical application of data science and optimization at industrial scale; experience with industry-scale platforms is preferred.
• Strong programming skills in Python (pandas, numpy, SciKit-learn essential); familiarity with Scala is advantageous.
• Background or familiarity with digital marketing, advertising, or analytics is beneficial.
• Experience working in intricate system engineering contexts is a plus.

Employee Benefits and Perks

• Comprehensive medical, dental, and vision coverage for employees and their dependents.
• Paid leave including vacation, health, and personal obligation days alongside flexible work scheduling.
• Competitive retirement matching plans.
• Equity compensation packages.
• Generous parental leave available to all types of parents, including birthing and adoptive.
• Annual wellness allowances, fitness discounts, and group wellness programs.
• Commuter benefits and discounts, where applicable.
• Employee assistance and mental health first aid programs offering immediate support.
• Paid volunteer time off and a donation-matching initiative.
• Monthly company-wide meetings and frequent community-led team events.
• Multiple initiatives supporting ongoing learning and professional development.
• A dedicated focus on fostering a diverse, equitable, and inclusive workplace culture.

Equal Opportunity & Accessibility

Index Exchange values diversity across all spectrums including race, gender, orientation, age, ability, and veteran status. Candidates with disabilities are encouraged to apply and accommodations will be made throughout the recruitment process upon request.

Location and Work Environment

Our headquarters are located in Toronto, with key offices globally including New York, Montreal, Kitchener, London, and San Francisco. We operate as a collaborative global team and support talented individuals regardless of their geographic location.