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Data Scientist - Analytics Lead - Onsite

DSN CORPORATION
Boca Raton, FL, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

Microsoft Excel A/B Testing Data Analysis Data Architecture Data Infrastructure Database Queries Python (Programming Language) Machine Learning Power BI SQL Databases Tableau (Software) Large Language Models
+2 more
Snowflake Machine Learning Operations

Job description

Analytics Lead / Data Scientist - Gaming Focus Onsite 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 LikeThis 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 LeadershipAnalyze player behavior, game performance, retention, engagement, and monetization trendsDesign and interpret A/B tests and other experimentsIdentify anomalies, risks, and opportunities quicklyTranslate complex data into clear recommendations and business decisionsPartner closely with Game Designers, Product, and Management in a rapid-iteration environmentStructure and maintain the underlying data architecture needed for reliable reporting and analysisWhat We’re Looking ForStrong analytical instincts and independent problem-solving ability - able to think critically about data, not just execute modelsDemonstrated experience using data to influence product or business decisionsExperience owning KPIs, not simply reporting themStrong background in data architecture and data analysis - structuring, organizing, and maintaining reliable data environments in support of business reportingHands-on exposure to machine learning and LLM technologies, applied with clear business judgment about when and why to use themComfort working with incomplete, evolving, or imperfect dataStrong SQL skillsProficiency with Tableau or Power BI, Excel, and Python or RExperience with A/B testing, experimentation, and performance measurementBachelor’s degree in Statistics, Applied Mathematics, Data Science, or a related fieldNice to HaveExperience analyzing gaming, casino, online-player, consumer-product, or other behavioral dataFamiliarity with slot-game metrics or game-performance analyticsSnowflake or similar modern cloud data-platform experienceMaster’s degree for senior-level candidates
Analytics Lead / Data Scientist - Gaming Focus Onsite 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 LikeThis 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 LeadershipAnalyze player behavior, game performance, retention, engagement, and monetization trendsDesign and interpret A/B tests and other experimentsIdentify anomalies, risks, and opportunities quicklyTranslate complex data into clear recommendations and business decisionsPartner closely with Game Designers, Product, and Management in a rapid-iteration environmentStructure and maintain the underlying data architecture needed for reliable reporting and analysisWhat We’re Looking ForStrong analytical instincts and independent problem-solving ability - able to think critically about data, not just execute modelsDemonstrated experience using data to influence product or business decisionsExperience owning KPIs, not simply reporting themStrong background in data architecture and data analysis - structuring, organizing, and maintaining reliable data environments in support of business reportingHands-on exposure to machine learning and LLM technologies, applied with clear business judgment about when and why to use themComfort working with incomplete, evolving, or imperfect dataStrong SQL skillsProficiency with Tableau or Power BI, Excel, and Python or RExperience with A/B testing, experimentation, and performance measurementBachelor’s degree in Statistics, Applied Mathematics, Data Science, or a related fieldNice to HaveExperience analyzing gaming, casino, online-player, consumer-product, or other behavioral dataFamiliarity with slot-game metrics or game-performance analyticsSnowflake or similar modern cloud data-platform experienceMaster’s degree for senior-level candidates

Requirements

We 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., * 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 R
  • Experience 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

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