Data Scientist I - Customer Lifecycle

EchoStar, whose brands include Boost Mobile and Gen Mobile, is seeking a Data Scientist I to optimize the customer lifecycle through data-driven analysis and insights. The role focuses on retention, lifetime value, and engagement by conducting statistical analyses, building automated data pipelines and dashboards, and deploying predictive machine learning models.

What you'll do:

• Own and execute analytical projects, translating business problems into actionable customer lifecycle strategies and data-driven recommendations
• Conduct deep-dive statistical analysis—specifically churn driver analysis and program impact analysis—to evaluate how various campaigns and changes affect customer retention behaviors
• Build and deploy scalable, algorithmic pipelines that translate customer milestones, engagement metrics, and LTV into automated retention interventions, moving beyond static visibility to drive direct business impact
• Architect and deploy automated data pipelines and scalable feature engineering frameworks directly within Databricks and Snowflake, partnering closely with Data Science and Engineering to operationalize AI models
• Collaborate with Data Scientist to architect, train, and deploy predictive machine learning models (such as proprietary churn and LTV algorithms) in production to drive automated, proactive business solutions
• Document analytical processes and code to ensure long-term scalability and share knowledge with the broader analytics team

What they're looking for:

• • Strong proficiency in querying complex datasets using SQL alongside statistical analysis capabilities in Python or R
• • Hands-on experience performing data transformation and querying within Snowflake or Databricks environments
• • Solid expertise in data visualization, specifically in designing high-impact interactive dashboards using Tableau, Power BI, or similar platforms
• • Strong analytical thinking and statistical reasoning to interpret complex datasets and translate them into actionable business insights
• • Excellent communication and data storytelling abilities to convey analytical findings clearly to non-technical business partners and stakeholders
• • Practical AI literacy and application skills, demonstrating the ability to leverage AI-assisted development tools to optimize analytical workflows
• • Bachelor's Degree in a quantitative field (such as Business Analytics, Statistics, Data Science, Computer Science, Economics, Mathematics, or a related field)
• • 1-2+ years of experience in Data Science, Data Analytics, Business Analytics, or a related analytical field
• • Must have at least 1-2+ years of experience with:
• + Writing complex SQL queries for data extraction and manipulation
• + Building interactive dashboards in Tableau, Power BI, or similar visualization tools
• + Working with cloud data platforms such as Snowflake or Databricks

Benefits:

• Flexible spending accounts
• HSA
• 401(k) Plan with company match
• ESPP
• Career opportunities
• Flexible time away plan