Director - Data Science

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Staff Plus From the posting source

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Director - Data Science Mumbai 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 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

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