Principal Data Scientist

Summary

Join MINT MOBILE as a Principal Financial Data Scientist and contribute to strategic decision-making by leveraging your expertise in data analysis, model building, and automation. You will be responsible for analyzing customer retention patterns, optimizing pricing strategies, and identifying growth opportunities through data-driven analysis. This role involves collaborating with cross-functional teams to provide insights and recommendations that influence business strategies. The ideal candidate will possess a Master's or Ph.D. in a related field, 10 years of experience, strong proficiency in SQL and Python, and excellent communication skills. MINT MOBILE offers a competitive salary, benefits, and a unique work environment with perks like daily chef-prepared lunches, a gym, and a variety of bars.

Requirements

• 10 years of experience
• Strong proficiency in SQL for data extraction, manipulation, and analysis
• Proficiency in Python for data processing, statistical analysis, and model development
• Strong analytical and problem-solving skills
• Excellent communication and presentation abilities
• A collaborative and team-oriented mindset
• Understanding industry and economic trends to navigate future uncertainties and guide profitable decision-making

Responsibilities

• Analyze and interpret survival curve data to understand customer retention patterns
• Calculate and analyze price elasticity to optimize pricing strategies
• Assess the impact of customer and market segmentation on business performance
• Work with models for assessing Unit Economics, including revenue sources and costs
• Support teams with custom geospatial analytics for identifying markets for Growth and Churn reduction
• Work with network performance data to correlate Churn to Network performance
• Identify growth opportunities through data-driven analysis and experimentation
• Design and conduct experiments to test hypotheses and drive data-informed decisions
• Measure the impact of initiatives on customer adoption and lift
• Collaborate effectively with teams across the organization to gather data and insights
• Communicate complex economic concepts and findings in a clear and concise manner
• Work on team initiatives to improve skills, knowledge sharing, and data documentation
• Share insights and expertise to contribute to data-driven decision-making across departments

Preferred Qualifications

• Master's or Ph.D. in economics, statistics, or a related field preferred
• Experience in telecom or a related field is a plus

Benefits

• Competitive salary
• Benefits
• Family leave
• Vacation
• Lunch every day prepared by our very own chef
• Healthy snacks
• Onsite gym
• Car wash services
• Espresso/Cappuccino/Nitro/Cold Brew/Kombucha Bar
• Froyo Bar
• Breakfast Bar
• Snack Bar
• Bar (after 5 pm)
• Health
• Disability insurance
• 401 (k)
• Flexible spending accounts
• EAP
• Education reimbursement
• Parental leave
• Unlimited vacation
• Bonuses
• Company paid holidays