Are you passionate about using data to provide better decision intelligence and reshape business operations? Are you interested in building data science products to predict our users’ behaviors and optimize their in-game experience?
Scopely is seeking a Data Science Lead for our Playgami Platform. As a Data Science Lead, you will lead and develop a high-performing group of data scientists to create impactful data science products.
Playgami is Scopely’s internal SaaS B2B platform for games. It offers the tools that help operate our multiplatform games, supports millions of users playing our games daily, and processes the huge amount of data they generate. You’ll join a great team of inner-motivated, ambitious individuals from diverse disciplines and backgrounds who strive to create the world’s best products for game production, operations, and insights while having fun at the same time.
Partnering with Playgami’s product analytics and data infrastructure teams, you and your team will be responsible for defining, designing, and bringing to production a broad range of data science projects such as predictive analytics, optimization, or segmentation.
You should be a rare breed of business-savvy, analytics powerhouse, and technologically proficient leader, capable of understanding stakeholder needs, finding adequate methodologies to solve their problems, and implementing them efficiently so that they scale when working with terabytes of data.
Location:
Playgami project is based in Barcelona, but we are happy to hire candidates who will be working remotely from any other city in Spain, the UK, or Ireland.
What you will do:
- Lead the process of creating new products, from their inception to putting them in production
- Collaborate with other technology teams to integrate the data science products with the rest of Playgami’s product offering
- Actively participate in defining the roadmap for the data science team, identifying high-value opportunities for our function
- Partner with our product manager to communicate analysis methodologies, results, and usage of those results to different profiles from engineers to business users
- Manage a team of data scientists. Provide mentorship, support, and career guidance
What you will need:
- Proven capacity for leading teams
- Great knowledge of statistics and machine learning. Understanding of the fundamentals of the most common machine learning algorithms
- Advanced level of scientific Python and SQL
- Experience in working with huge datasets – exposure with Spark or BigQuery is a plus
- Full professional command of English
- Degree in computer science, engineering, or related field or equivalent work experience
- At least 5 years of work experience
About Scopely
Scopely is a leading mobile games company home to many top-grossing, award-winning franchises including Scrabble® GO, MARVEL Strike Force, Star Trek™ Fleet Command, Looney Tunes™ World of Mayhem, WWE Champions, The Walking Dead: Road To Survival™, YAHTZEE® With Buddies and Wheel of Fortune®: Free Play, among others. Scopely creates rewarding, immersive games that empower a directed-by-consumer experience. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform that personalizes gameplay at scale across one of the most diversified portfolios in the west. Recognized in Fast Company’s ‘World’s Most Innovative Companies’ and #2 on Deloitte’s ‘Technology Fast 500’ as one of the fastest-growing companies in North America, Scopely has achieved more than $1 billion in lifetime revenue by creating game experiences that are an important part of people’s lives. Scopely has global operations in Los Angeles, Barcelona, Boulder, Dublin (DIGIT game studio), London and Tokyo, with additional studios in seven countries across four continents. For more information, visit our website.
Scopely is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, family or parental status, gender identity, veteran, or disability status, or other protected status.
Candidate information will be treated in accordance with our candidate privacy notice.
