Jobless Developer
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Dreamsports

Posted 3 months ago

Open

Director - Data Science

MumbaiOn-siteFull-time

AI Summary

Director-level role focusing on building and scaling data science and AI systems, defining success metrics, guiding experiments, and leading cross-functional collaboration to achieve business goals.

About this role

About DreamMoney
DreamMoney is building an AI-powered, human-guided, gamified personal finance platform that helps users save, invest, borrow, and learn in one seamless journey. Our mission is to make wealth creation simple, trusted, and rewarding for every Indian household.
Backed by the Dream Sports ecosystem, DreamMoney benefits from deep reach across digital-savvy, aspirational users nationwide, a foundation to rapidly scale adoption

Your Role:

  • Implementing appropriate success metrics & rapid experimentation of new POCs and presenting the impacts to stakeholders
  • Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths
  • Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved
  • Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines
  • Developing and evaluating predictive and prescriptive models/AI systems using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods
  • Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks

    • Qualifiers:

  • 8 - 10 years of experience in building and maintaining Data & ML solutions
  • Proficient in predictive modelling, experimentation and AI
  • 1+ years of experience in managing team of data scientists and data analysts in handling cross functional stakeholders
  • Proven track record of designing end to end ML systems which can scale

    • Skills

    AI/ML Systems DesignCross-functional Stakeholder ManagementData Pipeline DesignEnd-to-end ML LifecycleEstimation MethodsExperimentationFrequentist StatisticsModel DeploymentModel EvaluationPOC EvaluationPredictive ModellingRisk AssessmentRoadmap PrioritizationScalabilityService MaintainabilitySupervised LearningTeam Leadership / MentoringUnsupervised Learning

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