Data Scientist - Services Finance Data Science and Engineering

at  Apple

SUMMARY

Posted: Jun 27, 2024
Weekly Hours: 40
Role Number:200556907
Services Finance Data Science and Engineering team is looking for a passionate and highly motivated data scientist. You will provide a key function in shaping the success of Apple’s current and future products. As members of the Services Finance Data Science and Engineering team, we work with various business and engineering teams to understand current and future business initiatives. We need to be persistent and flexible in extracting data from various sources, cleaning and curating this data, and then clearly and concisely communicating insights.

DESCRIPTION

In this role, you will be responsible for developing descriptive and predictive data products that provide decision support for many business units and initiatives across Apple. A successful data scientist will be skilled in taking a business problem and translating it into a data science solution.

• 2+ years of industry experience as a data scientist
• 2+ programming background with programming languages such as SQL, R or Python
• Bachelor’s degree in statistics, mathematics, or economics

PREFERRED QUALIFICATIONS

• Experience with building statistical and/or machine learning solutions to solve business problems
• Experience with data wrangling and working with large datasets
• Experience working in a cross-functional team, willingness to solicit input and accept feedback
• Creative and curious thinker. Ability to translate business problems into data requirements
• Strong written and verbal communication skills, capable of explaining technical results to a non-technical audience
• Familiarity with time series modeling and forecasting, bayesian modeling, or anomaly detection
• Experience accessing and building various endpoints (e.g., REST APIs) and accessing databases (e.g., Postgres, Spark, Snowflake)
• Experience working with relationship databases (e.g., BigQuery, Snowflake, Postgres), object storages (e.g., S3), and flat files (e.g., Arrow, Parquet)
• Experience with scheduling systems (e.g., Github Actions, Airflow, Jenkins), cloud environment (e.g., AWS, GCP) and CI/CD tools and containers for streamlining work at scale (e.g., Kubernetes)
• Experience with building interactive data visualizations, strong storytelling skills (e.g., Shiny, Dash, Streamlit, D3, Tableau, ggplot2, plotly), and reports (e.g., Quarto)
• Experience with shell scripting (e.g., bash)
• Experience in coding in multiple source editors (e.g., VSCode, RStudio, Dataiku)
• Well-organized and self-motivated. Comfortable advancing multiple priorities at once on tight schedules
• Masters or PhD degree preferred

• 2+ years of industry experience as a data scientist
• 2+ programming background with programming languages such as SQL, R or Python
• Bachelor’s degree in statistics, mathematics, or economic