Data Engineer (Starlink Growth) at SpaceX in Hawthorne, CA

Summary: SpaceX is actively developing technologies to enable human life on Mars and is seeking a Data Engineer for the Starlink Growth Analytics & Automation Team. The role involves developing strategies, metrics, and tools for assessing the health of the Starlink business, while collaborating with technical and business teams to enhance customer acquisition efficiency. Responsibilities: - Build high-visibility, high-confidence, statistically-based dashboards and analytics tools to uncover new or breaking trends in customer growth or experience - Transform insights into action items for business and engineering teams, based on statistically-driven evidence - Develop and implement monitoring systems and strategies to quickly detect trends and regressions as they arise - Work closely with software and production teams to optimize user experience - Develop and validate models to forecast customer acquisition Required Qualifications: - Bachelor's degree in computer science, physics, mathematics, statistics, or a STEM discipline - 1+ years of professional experience building solutions with Python and SQL - 1+ years of professional experience with statistical modeling and machine learning algorithms Preferred Qualifications: - 1+ years of professional experience in analytics, data science, or machine learning - Experience building predictive models and machine learning pipelines (clustering analysis, anomaly detection, survival analysis, time series models) - Experience with data visualization skills, including experience in geospatial data representations - Excellent verbal and written communication skills - Experience with developing and deploying tools used for data analysis, machine learning, and statistical modeling - Demonstrated capability to parse technical subjects on a deep level - Demonstrated ability to jump into ill-defined problem spaces and drive positive outcomes - Self-starter attitude, energy, and the ability to communicate effectively across business and technical disciplines - Experience designing and utilizing relational database (SQL) - Background in statistics or computational physics Required Skills: Python, SQL, Statistical modeling Important Skills: Machine learning, Data visualization Nice-to-Have Skills: Relational database design, Background in statistics, communication, Self-starter attitude Benefits: Long-term incentives, in the form of company stock, stock options, or long-term cash awards, Potential discretionary bonuses, Ability to purchase additional stock at a discount through an Employee Stock Purchase Plan, Comprehensive medical, vision, and dental coverage, 401(k) retirement plan, Short and long-term disability insurance, Life insurance, Paid parental leave, Various other discounts and perks, 3 weeks of paid vacation, 10 or more paid holidays per year, Paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law