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Data Science Manager, Payment Risk

1.00 to 4.00 Years   Hyderabad   05 Jul, 2023
Amazon
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaRisk / Underwriting
EmploymentTypeFull-time

Job Description

    As a Data Science Manager, you will be responsible to lead design and deployment of scalable ML models to improve operational efficiency and reduce bad debt. This will include driving end-to-end solutions from understanding business requirements, exploring a large amount of historical data and ML models, building prototypes and exploring conceptually new solutions, to working with cross-functional teams and systems for prod deployment. This role combines science leadership, organizational ability, technical strength and business understanding. Candidate will lead PRISM s India site team comprised of Data Scientists and Business Analysts.Key job responsibilitiesAs a Data Science Manager, you will:a) Lead scientists and analysts on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems.b) Collaborate with software engineering teams to integrate successful ML models into large scale and highly complex production services.c) Report results in a scientifically rigorous way.d) Interact with other scientists, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for our products.e) Learn and understand a broad range of Amazon s data resources and know when, how, and which to use and which not to use.f) Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations,
    • 5+ years of building quantitative solutions as a scientist or science manager experience
    • 3+ years of scientists or machine learning engineers management experience
    • Masters degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
    • 7+ years of building quantitative solutions as a scientist or science manager experience
    • 1+ years of experience with AWS SageMaker ML workflow .
    • Management experience in matrix fashion across sites

Keyskills :
computer scienceadvanced analyticsrisk modelsdata science

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