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Senior Environmental Analyst - Environmental Data Engineer



IT, Data Science
Cupertino, CA, USA
Posted on Friday, May 17, 2024


Weekly Hours: 40
Role Number:200551654
Are you passionate about reducing environmental impacts through innovative designs? Do you have experience with life cycle assessment or advanced data analysis and want to use it to affect real- world change? Are you excited working at the cutting edge of technology and seeing it make its way into products at scale? We are looking for a candidate to help us design world-leading products with lower environmental impacts. We use a combination of detailed measurements, comprehensive modeling, and targeted engagements with design teams to drive strategic and relevant environmental initiatives.


The Environmental Metrics and Design team at Apple has developed some of the most detailed carbon and material models for our products. Our methods are rooted in life cycle assessment (LCA) and material flow analysis (MFA), but cover a range of fields within science, technology, and engineering. We are determined to uncover where impacts occur within our products and product supply chains, find opportunities to mitigate those impacts, and drive initiatives to reduce them. You will be advancing these models by seamlessly integrating supplier reported data and identifying hot spots for strategic environmental initiatives. You will build partnerships with various teams across Hardware, Supply Chain Operations, suppliers and industry experts to develop a comprehensive supply chain environmental data strategy to standardize supplier data and influence industry data standards. Your work will help bring efficiency to environmental data management and apply the latest data models to reduce environmental footprints across Apple products and beyond.

Minimum Qualifications

Key Qualifications

  • Scientific computing skills, including data analysis, visualization, and working with large datasets. Programming experience with SQL/Python/R and advanced spreadsheet capability required.
  • Comfortable developing assumptions, working and making decisions with limited and imperfect data, and quantifying and identifying sources of uncertainty.
  • Familiarity with environmental indicators and impacts, particularly with respect to carbon, water, energy, and resources.
  • Ability to understand data protocols/standards and improve on them.
  • Data analysis experience in data extracting, cleaning and mining using Python and SQL.
  • Ability to work with cross-functional teams in a dynamic environment. Demonstrated cross-functional leadership.
  • Experience developing process-based LCA models for engineering and/or manufacturing processes; knowledge of electronic component production (semiconductors, printed circuit boards, etc.), raw material production (aluminum, steel, plastics, etc.), mechanical part production (machining, stamping, injection molding, etc.) and/or industrial engineering is preferred.

Preferred Qualifications

Education & Experience

BS degree required; MS and PhD degrees welcome; engineering or operations background strongly preferred.

Additional Requirements

  • - 10+ years of relevant experience
  • - Self-motivated, enthusiastic, detail-oriented, and insatiably curious.
  • - Comfortable with uncertainty and ability to cut through ambiguity, knowing when to dive deep vs. focus on the big picture.
  • - Excellent at written and verbal communication, comfortable navigating cross-functional relationships.
  • - Comfortable presenting to and working with both technical and non-technical teams through powerful visualizations.
  • - Experience with data manipulation and maintenance of large data sets with varying granularity and formats.
  • - Experience with Machine Learning tools a plus.
  • - Experience with LCA methods, modeling approaches, data, and applications. Fluency with one or more professional LCA software packages (e.g., GaBi, SimaPro), including architecting and running complex, multi-parameter models is a plus.
  • - Familiarity across a wide range of technologies/supply chains such as IC’s, cameras, sensors, displays and batteries is a plus.
  • - Willingness to travel domestically and internationally (10% time)

Pay & Benefits

  • 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.