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Urgent! Data Scientist - Business Process Re-Engineering Job Opening In Austin – Now Hiring Apple
**Role Number:** 200613277-0157
**Summary**
Apple is a place where extraordinary people gather to do their best work.
If you’re excited by the idea of making a real impact, a career with Apple might be your dream job… Just be prepared to dream big!
An expert in advanced analytics, you are passionate about turning data into impactful insights, and driving creative data science solutions.
You are skilled at creating analytical models and interactive visualizations.
You are a motivated self-starter, comfortable navigating through ambiguity to evaluate complex data, analyze data from multiple angles, build analytical workflows, to deliver findings that directly impact the business.
If this describes you, then you should consider joining us!
**Description**
- You have outstanding communication skills, proven data science and advanced analytics capabilities, strong business acumen, and an innate drive to deliver results
- You are a self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment - Innovative and strategic approach to reporting and business analytics
- Develop custom models, algorithms, and interactive visualizations to deliver Supply Chain insights - Wrangle and analyze data to identify patterns, trends, and feature engineering
- Evaluate business needs through in-depth conversations with business users to understand the domain and apply data science for insights
- Present key findings to leadership to evaluate business impact, in non-technical terms
**Minimum Qualifications**
+ Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Mathematics or Statistics.
MSc in Data Science or Operations Research
+ 5+ Years of experience in modeling and solving large-size decision optimization problems using constraint programming, mixed integer programming, etc., and data science, machine learning, anomaly detection techniques
+ Skilled in Python
**Preferred Qualifications**
+ Meticulous attention to detail, data integrity, and data wrangling
+ Passionate about understanding and solving problems, drawing insights and hidden patterns from data, visualization and data storytelling
+ Ability to get things done, experience in delivering end-to-end projects
+ Knowledge of relational database technologies such as Snowflake, MySQL, and lightweight user interfaces like Streamlit, Tableau, ThoughtSpot, virtualization using Docker, Kubernetes
+ Ability to articulate complex AI concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key partners
+ High intellectual curiosity to learn and understand business needs
+ Excellent social skills to collaborate with cross-functional partners to share knowledge, communicate findings, and integrate feedback
+ Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixed, rapidly changing environment
+ Demonstrated collaboration as well as leadership and influencing skills
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 Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist 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 Scientist 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 51335 jobs in United States and 867 jobs in Austin. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist 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 Scientist Business Process Re Engineering to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Scientist Business Process Re Engineering 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 Data Scientist Business Process Re Engineering 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 Scientist Business Process Re Engineering 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 Scientist Business Process Re Engineering 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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