March 13
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• Work closely with Stable’s data science team to build powerful machine learning models to predict & improve EV charging station performance • Build simulations to forecast future trends and understand operational dynamics at EV charging stations • Design and run experiments to optimize charging station operations and revenue • Design and implement data pipelines for model development and performance monitoring • Explore dynamic datasets and craft analyses and visualizations to elegantly communicate complex interactions in simple terms • Understand customer needs and identify opportunities for innovation • Build and apply models to guide product direction with evidence and data • Lead the charge. Some decisions are truly marginal, and we trust you to make the best decisions you can. Expect autonomy and full support when you need it
• Bachelor's or Master's in Computer Science, Mathematics, Engineering, or related field • At least 2 years of work experience in machine learning or data science, or 4 years without a Master's degree • Experience contributing to production software code • Experience processing and visualizing geospatial data, designing and running causal inference experiments, building predictive models, and/or building simulations • Familiarity with Python, data science libraries, RESTful APIs, and cloud infrastructure (GCS, AWS) • Bonus: Prior experience in transportation, urban systems, electrical grids, or related domains dealing with large spatial datasets and/or real-time market pricing
• Great healthcare plans • 401k • Parental leave • Remote working culture with co-working access • Full list of benefits available on Stable Benefits page
Apply NowMarch 13
March 13
51 - 200
🇺🇸 United States – Remote
💵 $140k - $175k / year
💰 Series B on 2022-09
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🗽 H1B Visa Sponsor
March 1
11 - 50
February 22
February 22
51 - 200
🇺🇸 United States – Remote
💵 $170k - $250k / year
💰 $10M Series A on 2018-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist