Lead ML/Analytics Engineer - Monopoly GO!
Lead ML/Analytics Engineer - Monopoly GO!
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Job Description
Scopely is looking for a Lead ML/Analytics Engineer to join our Monopoly Go! team in Barcelona on a hybrid basis.
At Scopely we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing publishing and innovating the mobile games industry connecting millions of people around the world daily.
Monopoly GO! is our new casual game and a key franchise that has just become one of Scopelys largest games enjoyed by millions of players. The team is based in Europe and the US and works every day to create captivating new experiences for our players.
What Youll Do
- Lead and collaborate with engineers product teams and analysts to develop self-serve insight products that are responsive precise and scalable at petabyte levels
- Oversee the entire data product lifecycle including designing new tracking plans developing data models ELT pipelines and self-serve insight products like Looker explores and dashboards
- Act as a guardian of data quality ensuring consistent metric reporting across a wide range of data products
- Utilize cutting-edge technology stack including BigQuery dbt and Looker
- Provide technical leadership and empathize with game product teams and departments to enhance their daily operations and product success
- Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects
- Mentor team members and drive the adoption of best practices within the team
What Were Looking For
- A strong passion for solving complex analytical puzzles
- Proven ability to translate business needs into advanced analytics solutions
- Deep expertise with the modern data stack (BigQuery Snowflake dbt Looker Airflow GitHub command line-based workflows)
- Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
- Solid understanding of data modeling principles (e.g. Kimball methodology star schemas)
- A high valuation of business context and the drive to achieve technical excellence
- An inclination towards collaboration and pride in contributing to high-functioning teams
- Enjoyment in working within fast-paced growth-oriented environments
- A sense of fun at work with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!
At Scopely we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
About Us
Scopely is a global interactive entertainment and mobile-first video game company home to many top award-winning experiences such as MONOPOLY GO! Star Trek Fleet Command Stumble Guys MARVEL Strike Force and Yahtzee With Buddies among others.
Scopely creates publishes and live-operates immersive games that empower a directed-by-consumer experience across multiple platforms--from mobile web PC and beyond.
Founded in 2011 Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry.
Recognized multiple times as one of Fast Companys Worlds Most Innovative Companies Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years.
Scopely has global operations in more than a dozen markets across Asia EMEA and North America and is home to many internal game development teams referred to as Scopely Studios with additional game studio partners across four continents.
Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion and is now an independent subsidiary of Savvy.
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Employment Type
Full Time
