Data Scientist

Data Scientist Austin,Texas,United States Operations and Supply Chain Apple is a place where extraordinary people gather to do their best work. If youre 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** **Key Qualifications** + 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 + 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 + Skilled in Python + 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 **Preferred Qualifications** **Education & Experience** Bachelors degree required in Data Science, Machine Learning, Computer Science, Mathematics or Statistics. MSc in Data Science or Operations Research **Additional Requirements** + Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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) **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .