Data Scientist, Strategic Data Solutions

Apple Inc

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Quick summary

Work type: On-site
Location: Austin, TX
Posted: 51 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $169k

$102k $231k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $129,677–$209,268.

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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Data Scientist, Strategic Data Solutions

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The Data Scientist - Strategic Data Solutions joins the Strategic Data Solutions team to mitigate monetary losses, ensure financial crimes regulatory compliance, and optimize business processes. This role involves working with machine learning and software engineers to analyze complex business problems, document requirements, and develop technical solutions. Key responsibilities include performing ad-hoc investigations, creating new metrics, conducting system and workflow testing, and communicating insights to senior leadership. The candidate must utilize Python, SQL, and big data systems while leveraging Entity Relationship Diagram experience. The work focuses on providing seamless business intelligence solutions, performing predictive analysis, and preparing documentation for audits and exams. The role requires applying analytical techniques to solve real business problems within the context of finance, auditing, and financial crimes compliance.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

Skills

Python SQL Machine Learning Big Data UAT Entity Relationship Diagram Predictive Analysis Business Intelligence Quality Assurance Data Science Integration Testing data, analysis

What you'll do

Analyze and interpret new data sources to support the discovery of business problems.
Perform ad-hoc and recurring investigations and analyses to provide solutions to real business problems.
Develop and implement technical solutions using Python, SQL, and big data systems.
Create new metrics, analytics, and documentation for integration testing, audits, and exams.
Work with engineers to generate seamless business intelligence solutions and document technical requirements.
Create Quality Assurance test scripts to validate business requirements and engineering requirements.
Present analytical results and data stories to business units and senior leadership.
Participate in cross-functional UAT testing and represent business requirements in design and code reviews.

What we're looking for

BS/MS in a technical field such as math, statistics, engineering, computer science, analytics, or a similar field.
At least 3-5 years of experience working as a QBA, Data Scientist, or a related role.
Experience in investigations, testing, building metrics and reporting, and predictive analysis.
Competency with SQL, big data systems, and tools.
Programming skills in Python.
Experience eliciting business requirements, building project plans, and documenting features for technical systems.
Experience applying analytical techniques to provide solutions to real business problems.
Entity Relationship Diagram experience is a must.

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