Finance Data Scientist - Enablement

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $141,800–$213,700 / yr
Posted: 38 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $178k

$116k most similar roles pay here $231k

This role pays more than 59% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $178k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Finance Data Scientist - Enablement

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As a Finance Data Scientist in the Enablement team at Catalyst Program, you will play a strategic role in transforming finance teams from manual data preparers to AI-enabled decision partners. Your day-to-day responsibilities include assessing current delivery practices and guiding Finance leaders through actionable roadmaps for iterative improvement using tools like SQL, Python, and no-code/low-code platforms such as Dataiku and Snowflake. You will develop tailored training programs, co-design accessible solutions with engineering teams, and ensure adherence to governance frameworks that enable innovation while maintaining compliance with SOX standards. This role requires a strong background in finance, economics, or accounting, along with 5+ years of experience in SQL and Python development, data science, and applied machine learning. Ideal candidates possess hands-on familiarity with enterprise data platforms, AI agent creation, and agile methodologies, fostering a culture of continuous improvement and proactive decision-making within the Finance Analytics Community.

Skills

SQL Python Dataiku Snowflake Tableau Power BI Git ETL Agile LLM SOX CI/CD Data Governance PII Protection Clean Code Architecture Automated Testing Narrative Storytelling Interactive Dashboards Predictive Models AI Agents Prompt Engineering

What you'll do

Develop and deliver tailored roadmaps for Finance teams to improve data fluency and automation.
Lead workshops on SQL, Python fundamentals, and no-code/low-code entry points for Finance analysts.
Co-design accessible solutions like automated workflows and interactive dashboards with engineering teams.
Promote adherence to AI governance frameworks ensuring compliance while enabling innovation.
Build a community for peer support in data-driven decision-making among Finance professionals.

What we're looking for

5+ years experience in SQL and Python development for data science and machine learning
Proven background in business analysis or technical consulting, guiding Finance initiatives through transformation
Ability to translate complex technical concepts into accessible language for non-technical Finance professionals
Experience in stakeholder management with Finance leaders at all organizational levels
Understanding of finance controls, compliance requirements (e.g., SOX), and audit trails in analytical environments
Minimum undergraduate degree in finance, economics, accounting or related field
Hands-on experience with enterprise data platforms and visualization tools

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