data scientist

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 checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

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

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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