931 IT & Software Developer jobs in the US
Player Group - Data Scientist (Python, Machine Learning)
$80,000 - 120,000
Prodigy Search
North Scottsdale Road 4017, Scottsdale
$80,000 - 120,000
Requirements
Must:
- 3-5+ years of experience in applied analytics, data science, or a related quantitative field
- Bachelors degree in Data Science, Statistics, Economics, Applied Mathematics, or a relevant quantitative discipline
- Proficiency in Python (e.g., pandas, NumPy, scikit-learn, XGBoost, matplotlib) and SQL for data transformation and modeling
- Proven experience in creating and deploying forecasting and predictive models (e.g., regression, ensemble methods) to estimate sales and customer demand
- Strong knowledge of statistical analysis, machine learning, model evaluation, and predictive modeling approaches
- Familiarity with model evaluation metrics such as MAPE, MAE, RMSE, R, and AUC, and their connection to business performance
- Knowledge of A/B testing, hypothesis testing, and experimental design for campaign and pricing optimization
- Hands-on experience in feature engineering, feature selection, cross-validation, and model lifecycle management best practices
- Experience in developing segmentation and clustering models to analyze audience behavior
- Proficient in using data visualization tools like Tableau, Power BI, or Looker
- Background in data warehouse environments (e.g., Redshift, Snowflake) and ETL/ELT tools such as dbt, Airflow, or similar
- Demonstrated ability to collaborate cross-functionally with ticketing, marketing, or partnerships to drive data-informed strategies
- Preferred background in sports, entertainment, or consumer analytics, but not mandatory
- Exceptional communication skills, capable of translating complex analyses into clear, actionable insights
- Willingness to work non-traditional hours, including evenings and weekends for games and events
- Capability to navigate an arena environment for extended periods and carry out standard office tasks
Responsibilities
- Lead the creation of predictive models to forecast sales and demand to aid in revenue planning and inventory management
- Design, construct, and sustain models that enhance customer retention for season ticket holders, suite holders, and marketing partners
- Develop methodologies to calculate lifetime value of fans, guiding personalized engagement and communication strategies
- Build and enhance frameworks for audience segmentation and clustering to inform marketing and partnership decisions
- Utilize Python and SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and readiness for modeling
- Collaborate with data engineers, IT, and BI analysts to integrate models within the data warehouse and reporting systems
- Work with ticketing, marketing, and partnerships teams to convert business inquiries into analytical solutions
- Present analytical findings and model outputs using compelling storytelling, visualizations, and tailored presentations for various audiences
- Establish and monitor model performance through metrics like MAPE, MAE, RMSE, R, and AUC; suggest improvements based on outcomes
- Design A/B tests and experiments to assess the effectiveness of new strategies, campaigns, and pricing decisions
- Implement best practices in feature engineering and model reliability to ensure consistent results
- Create and manage dashboards and visualizations with tools like Tableau, Power BI, or Looker for self-service analytics
- Contribute to cloud data warehouse environments (e.g., Redshift, Snowflake) and assist in ETL/ELT processes with engineering teams
- Stay updated on emerging data science techniques and industry trends, introducing innovative approaches to enhance our analytics capabilities
- Provide on-site support as necessary, attending games or events to gain insights into operations and fan behavior
Description
At Player 15 Group, we are a dynamic sports and entertainment organization behind the Phoenix Suns, Phoenix Mercury, Valley Suns, and the Mortgage Matchup Center. Based in downtown Phoenix, we are redefining how organizations engage with fans and communities by embracing innovation and a commitment to creating unforgettable experiences. Our culture thrives on purpose-driven leadership, creativity, and diverse perspectives. As part of our team, you will lead advanced analytics initiatives that foster revenue growth and strengthen fan engagement, all while working in a fast-paced, collaborative environment. We value talent that aligns with our mission and are eager to see bold ideas come to life.
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The company with most openings is Robotics technology LLC as they are hiring for 83 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.