83 jobs for "Manager, Data Scientist"

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Manager, Data Scientist, Data Solutions and Modeling

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Engineering Project Manager, Retail Fraud - Strategic Data Solutions

At Apple

Posted on Oct 16

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Manager, Data Science

At Mastercard - Pune

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Engineering Project Manager, Retail Fraud - Strategic Data Solutions

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Machine Learning Engineer Manager -

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Director, Product Management - Enterprise AI/ML - Agentic AI

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Data Scientist I (Quants) - Insurance Model Validation

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Data Scientist I (Quants) - Insurance Model Validation

At TD Bank - Toronto

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Senior Engineer - Data Science

At Toyota North America - Plano

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Global Economics Intelligence Manager - Product Management

At Mastercard - Arlington

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Senior Manager, Data Science

At TD Bank - Toronto

Posted on Nov 3

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Data Scientist Lead - Data, Modeling & Analytics

At PNC Financial Services Group - Pittsburgh

Posted on Nov 8

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R&D Manager - Real Time Data Processing, Onsite

At Sandia National Laboratories

Posted on Oct 30

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Senior Product Manager - Data, Machine Learning & GenAI Platform

At Adyen - Amsterdam

Posted on Oct 27

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Apple

Engineering Project Manager, Retail Fraud - Strategic Data Solutions

ChinaPosted 25 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

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Apple's Strategic Data Solutions team is seeking an experienced project manager to support data scientists as we fight fraud.

Do you enjoy understanding the big picture and diving into technical details? Does regularly adapting your communication styles to partner on business perspectives, engineering pipelines and fraud logic sound fun? This role provides an opportunity to exercise interpersonal, organizational, technical, analytical and leadership skills.

In this role, you will help create and drive strategic roadmaps and coordinate quick tactical responses. Our aim is to address financial fraud without sacrificing customer experience. Given the adversarial nature of fraud, we are constantly challenged to innovate together, drawing from diverse perspectives as we design and build new solutions. Come join our skilled team of program and project managers, data scientists, engineers and domain knowledge experts to build solutions that improve security, mitigate fraud and optimize efficiency across Apple's Retail Ecosystem.

Description
An EPM in this role will
• Support our operations-managing business critical metrics by partnering closely with our technical and business partners
• Get into the details on analytical projects
• Prioritize work in alignment with urgent operational responses as well as long-term roadmap vision to balance impact, cost, resourcing, timeline and risk
• Build partnerships with key business and engineering leaders across multiple teams
• Continually identify and drive opportunities for process improvement
• Guide brainstorming and innovation
• Drive intra- and cross-team projects from inception through release and monitoring Keep partners informed
• Work under limited supervision, use good judgment and know when to seek guidance

If you thrive at the intersection of analytics, engineering, and fraud strategy while driving innovation and ensuring operational excellence - we'd love to hear from you!

Preferred Qualifications
Experience motivating and empowering others to do their best work
Previous experience with engineering, data analysis, machine learning or fraud detection/response is preferred
The ideal candidate is inquisitive and has a desire for continued self-improvement and development of new skills
Be an ideal team player, demonstrating success in a values driven culture

Minimum Qualifications
Bachelor's degree in any analytical, quantitative or technical field (engineering, math, computer science, finance or similar), or equivalent experience
Experience organizing and leading cross-functional technical projects (clarifying requirements, resolving conflicts, defining roadmap and driving progress)
Ability to think broadly about business, customer and system impact
Ability to learn and provide in-depth evaluations of complex engineering and analytic issues
Skilled at using data to present, advocate for and prioritize among solutions

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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