Data Scientist IV

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Protingent, Inc., is seeking the following. Apply via Dice today!

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.