Forecasting Data Scientist

Were looking for a Senior Forecasting Data Scientist to own and lead the models that drive financial planning for our subscription business. Youll forecast the metrics that matter most subscriber growth churn and retention revenue LTV and cash flow and turn them into forecasts that Finance FP&A and leadership rely on to plan and make decisions.

This senior role sits at the intersection of data science and finance. Youll own the most important forecasts end to end set the standards and methodology the team uses and partner closely with FP&A Growth and Product to make forecasts accurate explainable and actionable. Youll also mentor other analysts and raise the analytical bar.

• Own and lead forecasting for the subscriber business: new subscribers churn/retention reactivation active base and net adds.
• Forecast and own financial metrics subscription revenue ARPU/ARPU trends LTV CAC payback and cash flow and reconcile them with FP&A plans.
• Design cohort and survival models to understand retention dynamics and lifetime value and set them as team standards.
• Establish rigorous uncertainty quantification confidence intervals and scenario/sensitivity analysis (base upside downside).
• Lead the data science contribution to the budgeting forecasting and long-range planning cycles alongside FP&A.
• Identify and quantify drivers of subscriber and revenue trends (seasonality pricing promotions marketing spend macro factors).

Do

• Manage the product/ solution development using the desired AI techniques
  • Lead development and implementation of custom solutions through thoughtful use of modern AI technology
  • Review and evaluate the use cases and decide whether a product can be developed to add business value
  • Create the overall product development strategy and integrating with the larger interfaces
  • Create AI models and framework and implement them to cater to a business problem
  • Draft the desired user Interface and create AI models as per business problem
  • Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
  • Implement the necessary security features as per product s requirements
  • Review the used case and see the latest AI that can be used in product s development
  • Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
  • Tracks industry and application trends and relates these to planning current and future AI needs
  • Create and delegate work plans to the programming team for product development
  • Interact with Holmes advisory board for knowledge sharing and best practices
• Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
  • Drive discussions and provide consultation around product design as per customer needs
  • Participate in client interactions and gather insights regarding product development
  • Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
  • Assist in product s demonstration and receive feedback from the client
  • Design presentations for seminars meetings and enclave primarily focused over product
• Team Management
  • Resourcing
    • Forecast talent requirements as per the current and future business needs
    • Hire adequate and right resources for the team
  • Talent Management
    • Ensure adequate onboarding and training for the team members to enhance capability & effectiveness
    • Build an internal talent pool and ensure their career progression within the organization
    • Manage team attrition
    • Drive diversity in leadership positions
  • Performance Management
    • Set goals for the team conduct timely performance reviews and provide constructive feedback to own direct reports
    • Ensure that the Performance Nxt is followed for the entire team
  • Employee Satisfaction and Engagement
    • Lead and drive engagement initiatives for the team
    • Track team satisfaction scores and identify initiatives to build engagement within the team
      

Deliver