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Urgent! Data Science Manager – Strategic Data Solutions Job Opening In Austin – Now Hiring Apple
**Weekly Hours:** 40
**Role Number:** 200605282-0157
**Summary**
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.
Apple’s Strategic Data Solutions team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation.
You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
**Description**
• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
• Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
• Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
• Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
• Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains
Partner with cross-functional leaders to align analytics initiatives with strategic objectives
• Evangelize data science best practices and help embed a data-informed culture across teams
• Lead through influence — balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
**Minimum Qualifications**
+ Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
+ 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
+ 2+ years of experience leading and mentoring data-focused teams
+ Proficiency in SQL and at least one programming language (e.g., Python, R)
+ Strong background in experimentation design, causal inference, and statistical analysis
+ Experience working with large-scale data pipelines and production-level analytics systems
+ Proven ability to drive measurable business impact through data and automation
**Preferred Qualifications**
+ Experience with building robust monitoring systems to track data and model health in production
+ Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
+ Ability to connect insights to business outcomes and influence strategy
+ Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML ops tooling
+ Passion for fostering inclusive team environments and valuing diverse perspectives
+ Clear communicator who can translate complex technical concepts into actionable business language
Apple is an equal opportunity employer that is committed to inclusion and diversity.
We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your Data Science Potential: Insight & Career Growth Guide
Real-time Data Science Jobs Trends in Austin, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Science in Austin, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 49093 jobs in United States and 881 jobs in Austin. This comprehensive analysis highlights market share and opportunities for professionals in Data Science roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a Data Science Manager – Strategic Data Solutions to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Science Manager – Strategic Data Solutions Jobs United States varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Science Manager – Strategic Data Solutions typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Science Manager – Strategic Data Solutions interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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