data scientist
CRED - hyderabad
Posted Dec 18, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- 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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- 401(k) match
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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
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
data scientist hyderabad what you will do : - as a decision scientist, you will be the analytical backbone supporting business, growth, product, and risk teams, transforming complex data into strategic insights that drive multi-functional success across our lending ecosystem - analyze multi-dimensional data to identify user patterns, emerging trends, and risk signals that inform lending and growth strategies - develop and maintain churn and propensity models to detect disengaged users and recommend data-driven interventions that improve retention and product stickiness - lead campaign analytics by building user segments and evaluating communication effectiveness, with a focus on improving targeting, engagement, and in-funnel conversion performance - partner with product teams to guide feature development, using insights from cohort analysis, funnel diagnostics, and retention trends to improve user journeys and experience - collaborate with cross-functional teams including product, risk, tech, compliance, and business to build and execute analytical solutions aligned with organizational priorities - own the end-to-end execution of strategic analytical initiatives, from problem framing and hypothesis design to stakeholder communication and impact tracking - support and mentor junior analysts, fostering analytical rigor and promoting best practices in data hygiene, modeling, and experimentation across the broader analytics team you should apply if : - you have 4+ years of hands-on experience in data science or analytics roles, solving real-world business problems - you hold a bachelor's or master's degree in a quantitative field such as engineering, statistics, mathematics, or a related discipline - you have strong analytical skills with the ability to
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