Machine Learning Engineer

We are seeking a highly skilled and experienced Machine Learning Engineer (Onshore - US), to lead our efforts in understanding, predicting, and mitigating customer churn. This critical role will be instrumental in developing and implementing a comprehensive, data-driven retention strategy that directly impacts our customer lifetime value and overall business growth. You will be responsible for diving deep into our customer data, identifying key churn drivers, building predictive models, and collaborating with cross-functional teams to design and optimize targeted intervention strategies. Churn Analysis: Lead the end-to-end process of churn analysis, from data extraction and cleaning to model development and deployment. Develop and implement advanced statistical and machine learning models to predict customer churn with high accuracy. Identify and analyze key churn indicators, patterns, and segments. Conduct deep-dive analyses to uncover root causes of churn and identify actionable insights. Retention Strategy Development & Optimization: Translate analytical insights into concrete, data-driven retention strategies and actionable recommendations. Design, implement, and analyze A/B tests and experiments for various retention initiatives. Collaborate with stakeholders to prioritize and implement retention strategies, ensuring alignment with business objectives. Continuously monitor the effectiveness of retention initiatives and iterate based on performance data. Reporting & Visualization: Develop and maintain comprehensive dashboards and reports to track key churn and retention metrics. Communicate complex analytical findings and strategic recommendations clearly and concisely to both technical and non-technical audiences through compelling data visualizations and presentations. Establish robust feedback loops to continuously refine churn prediction models and intervention strategies based on real-world outcomes. Data & Technology Expertise: Leverage expertise in GCP (Google Cloud Platform) and BigQuery for efficient data extraction, transformation, and analysis. Work with large, complex datasets, ensuring data quality and integrity for accurate analysis. Stay abreast of industry best practices, emerging technologies, and new analytical techniques in churn prediction and customer retention. Cross-Functional Collaboration & Leadership: Act as a subject matter expert on churn and retention, providing guidance and insights to various teams. Partner closely with Business owners and Product Managers to identify product-led retention opportunities and inform roadmap decisions.