Senior Engineering Manager - Data Science (Hybrid/Remote)
Amsterdam, North Holland, Netherlands
About us
Happening is the technology engine powering Superbet Group's global platforms and brands that bring thrill to customers across the world every day. We are a game-changing tech company rewriting the rules of sports betting and gaming. We are shaking up the status quo by building our own end-to-end tech stack, solving deep and complex challenges for millions of customers and shaping our culture to work uniquely for the tech community. A true challenger, our technology handles serious scale on par with the Big Techs, and customer obsession runs through every team. Building our own platform gives us freedom to innovate and flip the legacy perceptions and industry stereotypes.
The Growth organization at SuperBet ensures that every user has their ideal customer experience with optimized economics. This organization includes key initiatives such as personalization foundations, new player experiences, viral acquisition and more.
About the role
We are looking for a Senior Engineering Manager to drive impact through high-performing data science teams. In this role, you will lead a growing group of data scientists and collaborate closely with engineering, product, and business teams to turn data into strategic advantage and product innovation. The Engineering Manager will drive both the people and technical growth for the Growth-Data Science business area.
We’re looking for someone who has:
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Proven experience (5+ years) managing and scaling data science or analytics teams, with a track record of supporting the growth, performance, and career development of data scientists and managers
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A strong background in Data Science, Statistics, Computer Science, or a related quantitative field
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A proactive mindset and autonomy in navigating ambiguity, identifying opportunities, and driving data-driven solutions across functions
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Deep understanding of applied data science workflows, experimentation, modeling, and data pipelines in production environments
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Excellent communication and storytelling skills, capable of driving clarity and influence through both written documents and live discussions
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Experience leading cross-functional efforts and resolving complex organizational and technical challenges
Bonus points for:
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Experience in online casino, sports betting, or gaming products, particularly applying data to improve acquisition, retention, or personalization
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Familiarity with machine learning techniques and how to operationalize models in partnership with engineering
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Comfort working with global teams across multiple time zones, and collaborating across diverse functions (marketing, product, ops)
What you’ll be doing:
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Leading and scaling a data science team, responsible for delivering models, insights, and metrics that power product features and strategic decisions
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Acting as a coach and mentor, enabling individual growth through regular 1:1s, performance reviews, goal setting, and feedback loops
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Partnering closely with product managers, engineers, and business stakeholders to prioritize work, align on goals, and ensure impactful delivery
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Championing a culture of experimentation and data-driven decision making, ensuring your team is empowered to ask the right questions and validate assumptions
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Driving data science best practices, including rigorous experimentation, reproducibility, documentation, and stakeholder communication
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Helping define and execute on the data strategy and roadmap in alignment with engineering and product objectives
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Ensuring your team is contributing to a culture of technical and analytical excellence, continuously raising the bar for quality, clarity, and accountability
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science CX Data pipelines Data strategy Economics Engineering Machine Learning Pipelines Statistics
Perks/benefits: Career development Startup environment
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