Engineering Lead Manager, Data Science

Index Exchange; London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A global advertising supply-side platform in London is seeking an experienced Engineering Lead Manager, Data Science to oversee the development of their machine learning algorithms and data pipelines. The ideal candidate will have a strong technical and people leadership background, and a passion for cutting-edge technologies. This position offers competitive benefits in a diverse workplace.

Benefits

Comprehensive health, dental, and vision plans

Paid time off and flexible work schedules

Competitive retirement matching plans

Qualifications

• Demonstrated leadership and management of 3-10 person teams.
• Experience building and managing ML data pipelines.
• Knowledge of data preparation and cleaning.

Responsibilities

• Support research, development, and production of ML algorithms.
• Lead a team of data scientists and machine learning engineers.
• Ensure technical debt is addressed and services remain healthy.

Skills

Technical leadership

People leadership

Organizational Coordination

Education

Bachelor’s degree in Mathematics, Computer Science, Engineering or equivalent

Tools

Docker

Kubernetes

Big Data technologies (Kafka, Hadoop, Spark, Scala, Airflow)

BI tools (Looker, Redash)

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 Engineering Lead Manager, Data Science to support our Machine Learning and Optimization organization with ownership over the research, development and production of our ML and data science algorithms and usage of our data pipelines. Our systems process over 450 billion auction events.

This position reports directly to the VP, Machine Learning based in London and will work closely with members of the across our engineering and product teams.

What We’re Looking For:

• Technical Leadership: You have gained experience and skills that enable you to chart a technical path for products, systems, and architectures. You are happy to be hands-on in the code, but your biggest impact is leading from the front and guiding others. Your role is to represent the technical health and future of the products you support and applying industry best practices towards designs and implementations.
• People Leadership: You know how to work with and lead a team of data scientists and machine learning engineers. You have demonstrated mentorship skills and set a technical vision to challenge your team in a way that empowers them to have incredible impact. You empower teams, who in turn build intricate systems that deliver great outcomes.
• Handler of Broad Scope:You thrive in environments where multiple projects and initiatives are under your ownership in different maturity levels. Specifically, when the number of initiatives is larger than the resources. You are able to self-manage your own and your team’s time in each of the projects in the intent of achieving the highest impact on the organisation. You take sequencing of projects and tasks into consideration and proactively report progress and delays to drive coordination.
• Driver of Outcomes: You are intentional in your path, establishing a vision or hypothesis, setting a direction, and guiding your team through execution. You use data to inform pivots or to validate assumptions, and partner with the Product team to set a roadmap, establish goals and forecasts to achieve both technical and business outcomes.
• End-to-End Owner: You take great pride in the products your team owns and delivers, and take full responsibility for their quality, health, and outcomes. You lead your team in ensuring services remain healthy and that technical debt is regularly paid down. When issues arise, you lead your team in responding, mitigating, and addressing the issues to learn from them for the future.
• Organizational Coordinator: You are the first point of contact for your team, your products, and your delivery plan. You foster a collaborative approach to delivery and leverage those relationships to unblock dependencies. You are a strong communicator and collaborator, responsive when issues arise, and celebrate successes by representing your team's achievements to the rest of the organization.

Here's What You Need:

• Bachelor’s degree or higher in Mathematics, Computer Science, Engineering, or equivalent.
• Demonstrated leadership and management of 3-10 person teams.
• A passion for cutting edge technologies, leading teams, and nurturing talent development among your team(s).
• Extensive experience in visualization and explanatory articulation of data science approaches, test and production results.
• Experience with ML and data science platforms and technologies.
• Experience with building and managing ML data pipeline to support data science and machine learning initiatives.
• Experience with data preparation and cleaning as well as data enrichment.
• Knowledge of big data stack including Kafka, Hadoop, Spark, Scala, and Airflow, as well as data warehouse technologies such as Vertica.
• Knowledge of BI tools like Looker and/or Redash will be very helpful.
• Experience with Docker and Kubernates 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, pleasesharethe details of your request and any information how we can assist you with thehiring recruiter when they contact you. Index Exchange will make reasonable efforts toensure accommodation requests are metthroughoutthe 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.

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