Data Scientist I
About The Position
We are looking to hire an analytical, intellectually curious, business-minded, and results-driven Data Scientist who is passionate about using data to solve complex problems and uncover new opportunities. The Data Scientist is responsible for advanced analytical modeling, statistical analysis, and AI/ML-driven insights across PTG’s enterprise data platforms. This role partners closely with Data Engineering, BI Engineering, and business stakeholders to translate data into actionable intelligence, predictive models, and decision-support tools. By uncovering patterns, forecasting outcomes, and transforming complex data into meaningful insights, this position helps drive smarter business decisions, identify growth opportunities, and create measurable value across the organization. Success in this role comes from a focus on developing scalable models and analytical frameworks that improve operational efficiency, revenue performance, and strategic decision-making. Success also requires the ability to translate complex datasets into clear, actionable recommendations, deliver reliable and repeatable analytical solutions, and continuously identify opportunities where data science and AI can create meaningful business impact.
Requirements
- Python or R (required)
- SQL (advanced)
- scikit-learn, TensorFlow, PyTorch, or equivalent
- Experience working with data warehouses (Snowflake, Azure, etc.)
- Power BI, Tableau, or similar (for model output interpretation)
- Cloud platforms (Azure, AWS)
- Feature stores, MLOps, model deployment pipelines
- AI-driven automation use cases
Nice To Haves
- Hospitality, loyalty, or revenue analytics (strong plus)
- Data marts / Kimball methodology environments
Responsibilities
- Develop, validate, and deploy statistical and machine learning models
- Perform exploratory data analysis to identify trends, anomalies, and opportunities
- Build predictive models (e.g., revenue forecasting, member retention, segmentation)
- Design and evaluate experiments (A/B testing where applicable)
- Develop feature engineering strategies across large datasets
- Translate business requirements into analytical models and measurable outputs
- Define key metrics, KPIs, and analytical frameworks with stakeholders
- Provide data-driven recommendations to support strategic initiatives
- Support financial, marketing, and operations teams with advanced analytics
- Support AI initiatives including recommendation models, automation, and agents
- Apply advanced techniques such as: Regression, classification, clustering, Time series forecasting, Natural language processing (where applicable)
- Evaluate model performance and continuously optimize
- Work closely with Data Engineers to ensure data readiness and pipeline integrity
- Collaborate with BI Engineers to productionize models into reporting layers
- Ensure models integrate into enterprise data architecture and workflows
- Partner with QA to validate data accuracy and model outputs
- Ensure data quality, consistency, and auditability of analytical outputs
- Document methodologies, assumptions, and model logic clearly
- Support compliance and audit requirements (SOC 2 alignment where applicable)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
