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# Data Science Analyst

- **Company:** Gravity It
- **Location:** Doral, FL, United States
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Microsoft Azure, Github, Python (Programming Language), NumPy, Power BI, Data Streaming, Tableau (Software), Sql Optimization, GitHub Copilot, Claude Code, Pandas, Pyspark, Information Technology, Real Time Data, Apache Kafka, Machine Learning Operations, Alteryx, Databricks
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/a2ee76d0-35b7-4a0d-a9ba-680c89cb78d2/data-science-analyst

## About the Role

* Key Requirements2+ years of experience in data science, advanced analytics, or a similar analytical role
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 * Strong Python (pandas, NumPy, PySpark) and advanced SQL skills
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 * Hands-on Databricks experience, including notebooks, jobs, pipelines, and Unity Catalog
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 * Hands-on experience building and validating predictive models such as regression, classification, time-series forecasting, or clustering
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 * Working knowledge of experimental design, including A/B testing, holdouts, and causal measurement of lift
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 * Daily, current use of AI-assisted development tools (Claude Code, GitHub Copilot), with the judgment to validate AI output
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 * Experience building dashboards or reports in Power BI or Tableau
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 * Excellent written and verbal communication skills, with the ability to explain complex analysis clearly to business and executive audiences
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 * Strong visual storytelling: able to present workflows, model logic, and findings in diagrams non-technical stakeholders can follow
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 * Must be authorized to work in the U.S. without sponsorship
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 * Education Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field, or equivalent experience
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 * Desired, But Not Required Knowledge Casino gaming industry experience as an analyst, mathematician, or game designer (highly preferred), including understanding of return-to-player (RTP), theoretical win, and how rewards are distributed across player sessions
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 * Familiarity with player tracking, slot telemetry, comp and offer optimization, or reinvestment modeling
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 * Experience in hospitality, cruise, travel, retail, or loyalty analytics
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 * Master's degree in a quantitative field
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 * Working knowledge of Alteryx
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 * Experience deploying models into production, including monitoring, retraining, and MLflow
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 * Experience with streaming or near real-time data (e.g., Kafka) and cloud platforms (Azure or AWS)
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 * Familiarity with CRM, loyalty, or offer-management platforms, plus GitHub, Jira, and Confluence
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