Apple
Professional Skills:
– Self-starter, exceptionally curious, can navigate ambiguity and challenges consistently, and enjoys working in a dynamic environment
– Strong ability to work collaboratively as a member of the team and with cross-functional partners
– Effective at identifying and assessing risks through collaboration with key stakeholders
– Able to consistently and thoughtfully evaluate risk areas and thoughtfully challenge hypothesis via data science skills and resources
– Strong ability to work in ambiguous scenarios, maintaining a high level of curiosity and a commitment to uncovering new insights, even if setbacks are encountered
– Ability to get things done, experience in delivering end-to-end projects
– Passionate about understanding and solving problems, drawing insights and visualizing data, and storytelling
– Ability to clearly articulate technical details to non-technical audiences
– Excellent project management and organizational skills
– Ability and desire to share your expertise with others
- 5+ years of data science experience
- Bachelor’s Degree in Data Science, Statistics, Computer Science, Quantitative Finance or a related field
- A solid understanding of data engineering principles is critical as you will often be responsible for acquiring your own data sets and creating your own data models
- Strong understanding of data validations and automated monitoring to ensure completeness, accuracy, integrity and consistency in data pipelines
- Proven data science and advanced analytics capabilities including data wrangling, feature engineering, and advanced data analysis to identify patterns, trends, and anomalies
- Ability to apply statistical models and machine learning algorithms to assess risks and and solve business problems
- Knack for investigating potential risks by exploring new datasets and testing hypotheses, ensuring thorough understanding and analysis of potential problem areas
- Knowledge of relational database technologies such as Snowflake and user interfaces like Streamlit, Tableau, and Dataiku
- Ability to translate business problems into data requirements
- Strong proficiency in SQL and Python
- Experience with statistical sampling, hypothesis testing, and probability
- Knowledge of audit principles and frameworks, accounting, risk management, or compliance is a plus
- Industry recognized certification such as Certified Information Systems Auditor (CISA), Certified Internal Auditor (CIA), or one or more Data Science certifications is a plus
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.
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