112 jobs for "Senior Data Scientist, Product"

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Data Scientist Senior - Internal Audit

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Senior Data Scientist, Experimentation & Causal Inference

At Apple - Culver City

Posted on Oct 15

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Data Scientist - Applied AI/ML

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Principal Data Scientist

At Navy Federal Credit Union - Vienna

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Apple

RCC Data Scientist

Posted 21 days ago

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Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.

We are seeking a highly motivated Senior Data Scientist to shape our innovation strategy through advanced behavioral segmentation, pilot measurement, text analytics, and AI tools integration. In this role, you will be part of Apple Store Online, with a particular focus on Retail Customer Care (RCC) performance and decision support. Using data and quantitative techniques, the decision support team acts as a consultant, providing insights and recommendations to inform the organization's innovation strategy and to drive operational performance excellence across Apple and vendor contact center sites.

Description
In this role, you will define how we measure the performance of our end-to-end customer interaction systems and build analytical frameworks to compare outcomes across different interaction models. Working with structured operational data and unstructured conversation data at scale, you will apply NLP, experimentation, and statistical modeling to drive decisions that directly impact revenue, cost, and the customer experience. You will be a part of the Business Operations Analytics team within the Retail Contact Center, partnering closely with a wide range of cross-functional stakeholders to measure and optimize performance across our contact center operations.","responsibilities":"* Establish KPIs, and design and measure controlled experiments to optimize the end-to-end customer interaction systems across voice and chat channels, evaluating performance, ROI, and customer experience impact using structured and unstructured data including transcripts, logs, and feedback. Apply NLP techniques to analyze conversation data, extracting insights on customer sentiment, interaction quality, resolution effectiveness, and emerging issues to identify improvement opportunities.
* Build analytical frameworks that enable rigorous comparison of customer outcomes, cost efficiency, and experience quality across different service delivery models.
* Apply statistical and ML techniques to understand customer interaction patterns - including contact drivers, resolution effectiveness, repeat contact behavior, and the comparative economics of different service channels.
* Partner closely with cross-functional teams to measure the performance of customer interaction systems, translating analytical findings into clear, actionable recommendations for senior leadership to inform strategic decisions on deployment strategy, automation approach, and operational optimization.
* Build and maintain scalable analytical pipelines, models, and tooling that enable ongoing measurement and monitoring - moving beyond one-off analysis to production-grade analytical solutions.
* Develop self-service analytical tools - including automated reporting, interactive dashboards, and curated datasets - that empower business stakeholders to access routine performance insights independently.

Preferred Qualifications
Master's degree in a quantitative field preferred.
Familiarity with modern cloud data platforms, particularly Snowflake and AWS.
Deep domain experience in contact center operations, customer experience analytics, or customer interaction measurement.
Hands-on experience leveraging LLMs and Generative AI to enhance analytical productivity and generate new insights.
Proven track record of stakeholder management and large-scale cross-functional project work.
Demonstrates Apple's values. Contributes to an inclusive environment through respecting each other's differences and having curiosity to learn.

Minimum Qualifications
Bachelor's degree in computer science, mathematics, finance, statistics, econometrics, or other quantitative field, and 7+ years of professional experience in data science, machine learning, or advanced analytics within business analytics, e-commerce, and customer analytics.
Hands-on experience with text analytics, NLP, and sentiment analysis - including working with conversation or transcript data at scale.
Experience defining and establishing performance metrics and KPIs - particularly for new programs, systems, or technologies where measurement frameworks don't yet exist.
Experience designing and analyzing A/B tests and/or experience with quasi-experimental methods (e.g. causal inference, diff-in-diff, propensity matching, synthetic controls) to measure the impacts of business interventions.
Strong programming skills in Python and SQL for large-scale data manipulation and analysis. Proficiency in data visualization tools (Tableau preferred).
Strong communication and storytelling skills - the ability to translate complex analytical findings into clear recommendations for both technical and non-technical audiences, including senior leadership.

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

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