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Urgent! Machine Learning Manager - Strategic Data Solutions Job Opening In Austin – Now Hiring Apple
**Weekly Hours:** 40
**Role Number:** 200626973-0157
**Summary**
Apple's Strategic Data Solutions (SDS) AppleCare team is looking for a talented manager who is passionate about managing a team of machine learning engineers that craft, implement, and operate analytical solutions that have direct and measurable impact to Apple and its customers.
We employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency.
Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques.
On this team, we will push the limits of existing data science methods while delivering tangible business value!
**Description**
• Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
• Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem
• Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
• Ensure operational and business metric health by monitoring production decision points
• Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
• Communicate results of analyses to business partners and executives
• Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
• Mentor machine learning engineers for their individual career development
• Deliver timely, constructive feedback to help team members recognize their needs and their progress
• Review the team’s production code and logic prior to deployment
• Drive the collaborative and supportive SDS culture on your team, and collaborate with peers to share best practices across the larger organization
**Minimum Qualifications**
+ Hands-on experience as a data scientist, machine learning engineer, or equivalent role in either academia or industry
+ At least 2+ years of leadership experience in data science / machine learning (e.g. serving as a team lead, mentoring/hiring interns or other junior machine learning engineers / machine learning engineers, or prior management experience)
+ Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
**Preferred Qualifications**
+ Familiarity with database modeling and data warehousing principles and SQL.
+ Familiarity with Big Data tools like Spark, Hive etc.
+ Strong programming skills in Java, Python, or similar language
+ Ability to comprehend and debug complex systems integrations spanning toolchains and teams
+ Ability to extract meaningful business insights from data and identify the stories behind the patterns
+ Creativity to engineer novel features and signals, and to push beyond current tools and approaches
+ Ability to coach machine learning engineers and a drive to invest in team’s success.
+ Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
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 Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning 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 Machine Learning 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 15327 jobs in United States and 147 jobs in Austin. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning 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 Machine Learning Manager Strategic Data Solutions to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Manager Strategic Data Solutions Jobs Austin.
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 Machine Learning 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 Machine Learning 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 Machine Learning 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.
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