Mobile Game Data Scientist - 23-00196

Join this fast growing game development company in Boca Raton, Florida as a Data Scientist. Their games are played in over 40 countries and consistently rank in the top 10 in some of the biggest markets due, in part, to their commitment to building data-driven game features. This company has 4 game development studios in North America and over 150 employees.

Purpose

They are seeking an experienced data scientist to deliver insights from mobile casino game and audience data. The ideal team member will have mathematical, AI and statistical expertise to mine, interpret, and clean game and audience data with responsibility to ask questions, connect the dots, and uncover opportunities that lie hidden within the data.

Roles and Expectations

• Creation of Dashboards that will be used to drive business decisions.
• Lead data-driven and evidence-based research to support the delivery of game metrics, KPIs, reporting
• Enable smarter business processes—and implement analytics for meaningful insights
• Communicate findings to all stakeholders
• Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with internal team leads (Game Designers, Management and Game Intelligence leads)
• Further incorporate data-driven decision-making in operations and Game Design.
• Nice to Have: Research and devise innovative statistical models for data analysis
• Keep current with technical and industry developments
• Nice to Have: Advanced and predictive analytics
• Establish KPIs and Dashboard to measure the effectiveness of business decisions

Qualifications / Education

• Bachelor’s degree in statistics, applied mathematics, or related discipline
• Experience with AB testing
• Preferred: Experience with AI: Machine Learning: Deep Learning & Neural Networks, Predictive Analytics & Math models.
• Preferred: Master’s degree in stats, applied math, or related discipline (for senior position)
• Preferred: 4+ years of industry experience in predictive modeling, data science, ML and analysis
• Preferable experience with online gaming data sets (slot games).
• An aptitude for creativity and ability to formulate problems and solve them independently

Skills

• Preferred: Experience with machine learning and AI
• Familiarity with data management / visualization /Statistics tools
• Preferred: Advanced pattern recognition and predictive modeling experience
• Preferred: Proficiency with data mining, mathematics, and statistical analysis
• Tensor Flow, Azure Machine Learning Studio or similar tools
• Excel, PowerPoint, Tableau, SQL, PowerBI and programming languages (i.e., Java/Python, SAS, R) and Snowflake.

Benefits:

• All benefits begin and are vested immediately.
• 17 vacation days, 5 days off paid Christmas to New Year's and Federal holidays
• Zero deductible health care coverage
• Up to 25% bonus paid quarterly based personal and game team performance
• 30 days sick time
• 4% 401k match

Location:

• It is in-office 5 days per week
• Relocation expenses are paid
• This role is based is in Boca Raton, FL

Applicants should expect to complete an Assessment Evaluation as part of the interview process.

About the company:

Join a team that values people and loves gaming. No TPS reports, guaranteed!

This three studio software engineering company is quickly becoming known as a leading creative developer of online mobile casino games. With no legacy or corporate entity to serve, this company is embracing leading technologies to deliver new and innovative experiences. Their customers are shifting work from other studios to them as their games are achieving faster market penetration, higher user satisfaction and superior quality. They recruit for attitude and aptitude. They believe the right people will employ their passion for gaming to create great product with minimal supervision/overhead which is the inspiration behind their small distributed studio approach to growth. You owe it to yourself to see this amazing alternative to corporate and indie game development.