Connecting energy for life
Natural Gas Liquids • NGL Transportation • Gas Processing • Pipeline Operations • Midstream
March 20
🏢 In-office - San Francisco
Connecting energy for life
Natural Gas Liquids • NGL Transportation • Gas Processing • Pipeline Operations • Midstream
• Design and implement advanced analytics models to solve underlying customer problems • Collaborate with ML engineers to integrate complex data sets from health systems • Dive deep into customer data to craft solutions approach • Identify gaps and opportunities in customer data and define data requirements • Lead development and application of statistical models and machine learning algorithms • Engage in interdisciplinary projects to derive structure and knowledge from raw data in healthcare sector • Travel to customers to gain insight and develop solutions
• Expertise with data science tools (Pandas, NumPy, Scikit-learn, PyTorch, etc...) • Ability to wrangle complex datasets, clean, transform, and enrich data • Experience in healthcare industry is a strong plus • Strong programming skills in Python and SQL, Spark experience is a plus • Undergraduate degree in Mathematics, Statistics, Physics, Engineering; Master’s degree preferred • Minimum of 7 years professional experience in data science, machine learning, and analytics in healthcare sector • Ability to communicate complex ideas effectively • Strong leadership skills and ability to work collaboratively
• Competitive salary range of $160K - $200K per year • Meaningful equity in an early-stage company • Full benefits package including Health, Dental, Vision, etc... • Opportunity to participate in yearly bonus structure
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