Data Scientist – Gamification Product Strategy

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Data Scientist – Gamification Product Strategy

Company Overview
This leading global platform specializes in short-form video and fosters creativity and joy. Their mission is driven by innovation, teamwork, and a flat organizational structure that offers dynamic opportunities for employees to grow and make an impact. The company operates across various regions, including Asia Pacific, the Middle East, Europe, and the Americas.

Role Summary
As a Data Scientist in Gamification Product Strategy, you will build and design a gamified labeling platform to drive user engagement and enhance productivity. You will apply your expertise in data science and gamification to optimize user interactions and create a captivating platform that incentivizes and motivates users. The role involves using predictive models, experimental design, and collaboration with cross-functional teams to create a seamless gamification experience.

Key Responsibilities

• Gamified Labeling Platform: Design and implement engaging gamification features to improve user motivation and productivity.
• Experimental Design: Plan and conduct experiments, including A/B testing, to evaluate the impact of gamification features.
• Engagement Metrics: Develop and monitor KPIs related to user engagement and gamification, and iterate on features based on data insights.
• Optimization: Lead efforts to optimize features, from conceptualization to full rollout, using data-driven insights.
• Collaboration: Work with cross-functional teams to ensure the seamless integration of gamification features.

Qualifications

• Minimum Requirements:
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in data science roles, particularly in the gaming or gamification industry.
  • Experience with experimental design and statistical methods, including A/B testing.
  • Proficiency in statistical programming languages (Python, R) and SQL.
• Preferred Qualifications:
  • Familiarity with data engineering tools and frameworks (e.g., Spark, Databricks).
  • Strong analytical skills to derive actionable insights from complex data sets.
  • Understanding of game mechanics and user engagement metrics.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
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