Build predictive models to predict customer behavior, such as churn, lifetime value, price sensitivity, channel preference and purchase propensity within the subscriptions businesses. Develop predictive models for upsell and cross sell across the different product lines. Collaborate with data engineering and ML Ops teams to establish and maintain robust data infrastructure, ensuring data quality, accessibility, and security. Establish model governance and implementation processes. Evaluate and implement appropriate data science tools, platforms, and technologies to streamline processes and enhance data-driven marketing capabilities. Utilize advanced analytics and predictive techniques to analyze large volumes of customer data, including demographic information, transactional data, online behavior, and social media data. Derive actionable insights to optimize marketing strategies, improve customer targeting, and personalize marketing campaigns. Work closely with cross-functional teams, including marketing, sales, product, and finance, to understand their business needs and translate them into data-driven solutions. Present insights and recommendations to senior executives and stakeholders in a clear and compelling manner.
Benefits: Comprehensive Healthcare Plans; Paid Time Off; Retirement Plans; Comprehensive Medical, Dental and Vision Insurance Plans; Education Benefits; Paid Maternity and Paternity Leave; Family Care Benefits; Commuter Transit Program; Subscription Discounts; and Employee Referral Program.
To apply, visit https://www.jobpostingtoday.com/application/47220/apply
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