Analytics Lead / Data Scientist - Gaming FocusOnsite | South Palm Beach CountyW2-FTE GC USCWe are seeking a highly agile Analytics Lead / Data Scientist to turn game and player data into decisions that directly improve game performance and business outcomes. This is an analytics-led role, not an ML engineering, MLOps, or model-deployment position. The right person combines strong statistical and technical skills with sharp business judgment - someone who can think critically about data, not just run models.
What Success Looks Like:
This role is ideal for someone who can look at data, recognize what matters, and explain what the business should do next. We are looking for someone who can answer:
- What are players doing?
- Why is performance changing?
- Which experiment worked?
- Where is the opportunity?
- What should Game Design or Leadership do next?
- We are not looking for someone whose primary experience is building models, deploying AI systems, or managing MLOps pipelines.
- What You'll OwnDefine, track, and continuously improve game and business KPIsBuild and evolve dashboards used daily by Game Design and Leadership
- Analyze player behavior, game performance, retention, engagement, and monetization trends
- Design and interpret A/B tests and other experiments
- Identify anomalies, risks, and opportunities quickly
- Translate complex data into clear recommendations and business decisions
- Partner closely with Game Designers, Product, and Management in a rapid-iteration environment
- Structure and maintain the underlying data architecture needed for reliable reporting and analysis
What We're Looking For:- Strong analytical instincts and independent problem-solving ability - able to think critically about data, not just execute models
- Demonstrated experience using data to influence product or business decisions
- Experience owning KPIs, not simply reporting them
- Strong background in data architecture and data analysis - structuring, organizing, and maintaining reliable data environments in support of business reporting
- Hands-on exposure to machine learning and LLM technologies, applied with clear business judgment about when and why to use them
- Comfort working with incomplete, evolving, or imperfect data
- Strong SQL skills
- Proficiency with Tableau or Power BI, Excel, and Python or RExperience with A/B testing, experimentation, and performance measurement
- Bachelor's degree in Statistics, Applied Mathematics, Data Science, or a related field
Nice to Have:- Experience analyzing gaming, casino, online-player, consumer-product, or other behavioral data
- Familiarity with slot-game metrics or game-performance analytics
- Snowflake or similar modern cloud data-platform experience
- Master's degree for senior-level candidates
- Laurie Roth
- President/Sr. ConsultantDSN-IT561-923-9505lr@dsn-it.comwww.dsn-it.comhttps://www.linkedin.com/in/laurie-jane-roth-084769/
