DATA SCIENTIST, PORTFOLIO ANALYTICS
Descripción de la oferta de empleo
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.
The Strategic Analytics team supports the Scopely portfolio by providing insights, reporting, knowledge-sharing, and KPI frameworks to strengthen the long-term health of each game.
What you will do Analyze, model, and interpret extensive datasets representing millions of players to uncover trends and insights that answer both strategic and operational questions.
Implement advanced statistical and machine learning techniques to provide deeper insights, continuously improving the team's analytical capabilities.
Develop predictive models and algorithms to forecast player behaviors, retention, and revenue potential, empowering teams to make data-driven optimizations.
Identify patterns and commonalities across the game portfolio that can guide recommended approaches and strategic alignment.
Define and improve critical metrics, frameworks, and tools that help teams understand player lifecycle and optimize LTV, loyalty, and retention.
What we're looking for Solid experience in data science, with a background in statistical analysis, predictive modeling, and machine learning in a business context, ideally for 3+ years.
Proficiency in SQL and programming languages such as Python or R; experience with large datasets and big data tools (BigQuery or similar) is a plus.
Experience with visualization tools (Looker, Tableau, or QlikView) to build compelling data stories that communicate insights effectively.
Strong ability to translate data insights into strategic recommendations that align with business objectives.
Skilled in presenting complex results to stakeholders, ensuring insights are understood and actionable across teams Bonus points Master's degree or equivalent experience in a quantitative field (e.
., Data Science, Statistics, Economics, Computer Science, Engineering, or a related field).
Familiarity with or experience in the gaming industry, along with a passion for understanding player motivations and game design.
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 , 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 Company's "World's 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 for $4.
billion, and is now an independent subsidiary of Savvy.
For more information on Scopely, visit.
scopely.
om.
Employment at Scopely is based solely on a person's merit and qualifications.
Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
Detalles de la oferta
- Sin especificar
- Sin especificar
- 24/12/2024
- 24/03/2025
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