Data Scientist IV

Job Responsibilities:

• Develop advanced analytics to uncover customer behaviors, preferences, and lifetime value, driving targeted engagement and retention strategies.
• Create frameworks to evaluate sales channel performance and enhance marketing effectiveness.
• Build and deploy propensity models to predict customer acquisition and churn, enabling proactive retention and acquisition strategies.
• Enhance analytics that differentiate markets by performance metrics, driving growth in underperforming areas.
• Analyze market and competitive dynamics influencing customer migration and switching behavior.
• Apply machine learning and predictive modeling to forecast trends, identify growth opportunities, and improve competitive positioning.
• Perform market analysis to uncover trends, evaluate pricing strategies, and identify differentiation opportunities.
• Collaborate with data engineering and IT to ensure accurate, accessible, and optimized data pipelines and analytics infrastructure.
• Develop dashboards, KPIs, and reporting tools to monitor and improve marketing and acquisition performance.
• Foster a collaborative and innovative analytics culture, driving continuous improvement and knowledge sharing.
• Drive actionable insights that improve customer acquisition, retention, and engagement.
• Enhance sales channel performance and operational effectiveness.
• Optimize campaign strategies to deliver measurable business outcomes.
• Identify and capitalize on growth opportunities in competitive markets.
• Empower decision makers with validated, data driven insights delivered through ad hoc analyses that inform marketing and strategy initiatives.
• Shape the future of analytics by designing scalable, automated processes that ensure models remain accurate, fair, and impactful over time.
   

Job Qualifications:

• 7+ years of experience in advanced analytics, with a proven ability to deliver insights that drive business growth.
• Hold a Bachelor’s degree in Analytics, Statistics, Data Science, Marketing, or a related field (Master’s degree preferred).
• Possess strong technical skills and are proficient in analytical tools and platforms, including Python, R, SQL, Tableau, and speech analytics tools (e.g., CallMiner, Verint, NICE).
• Prior experience with propensity modeling, machine learning, and NLP techniques (preferably within telecom).
• Excel at analyzing data to uncover trends, predict outcomes, and create actionable recommendations.
• Possess strong communication and collaboration skills to work effectively across teams and stakeholders.
• Demonstrate critical thinking and a strong understanding of the telecom industry, including customer acquisition, churn reduction, and pricing strategies.