August 30
🏢 In-office - San Francisco
• Lead data science projects, develop machine learning models, and perform in-depth data analysis. • Build and deploy models for applications like demand forecasting and route optimization. • Conduct data wrangling and apply statistical methods to derive insights. • Collaborate with cross-functional teams and present complex data insights to stakeholders.
• Advanced proficiency in Python • Deep understanding of data analysis techniques • Ability to derive actionable insights from large data sets • Substantial knowledge in machine learning algorithms • Statistical methods to develop predictive models and analytics tools • 5-7 years of experience in data science, with a proven track record of leading and delivering complex data projects • Break down complex problems into their most basic elements and reconstruct solutions from the ground up • Excellent critical thinking and problem-solving abilities, with experience in formulating data-driven solutions to business challenges • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field • Outstanding verbal and written communication skills, with the ability to present complex data insights to a non-technical audience • Proven ability to work effectively in a collaborative team environment and manage multiple projects simultaneously • Advanced proficiency in Python • Strong SQL skills for data manipulation and querying • Machine learning frameworks: Scikit-Learn, TensorFlow, Keras, and PyTorch • Proficiency in data visualization tools • Familiarity with cloud platforms like AWS
• Competitive salary and bonus structure • Annual bonus and Long Term Incentive Plan participation • Hybrid work schedule • 401k with matching • Medical, Dental, and Vision health coverage • Employee Stock Purchase Program (15% discount to market value) • Hyper-stable, publicly traded enterprise • Collaborative, fun, and tech forward office in Hayes Valley (San Francisco)
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