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AMPLY Staff Data Scientist, Optimization

AMPLY Staff Data Scientist, Optimization

  • Location In Country - Flexible - In Country, United States - California - Mountain View, United States - California - San Francisco, United States - Flexible - Home Based (US)
  • Travel required Negligible travel
  • Job category IT&S Group
  • Relocation available No
  • Job type Professionals
  • Job code 138675BR
  • Experience level Intermediate
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Job summary

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About the Role:

Want to be part of something Electrifying? AMPLY Power, a wholly owned subsidiary of bp, needs you to help us on our adventure to get to an Electric Future and become NetZero. We’re looking to meet the growing global demand for safe, sustainable, and affordable energy. AMPLY is passionate about redefining the commercial transportation sector by removing the challenges, surprises, and learning curves that fleet operators often face when switching to electricity as a fuel. To do this, we need to rapidly grow our phenomenal team with the best EV authorities out there. You can help us get there, we’re searching for skilled EV experts who are passionate and curious individuals to join our team to help the world electrify!

We are looking for candidates with experience developing data models, data flows, and AWS applications to improve the way our platform considers multiple multifaceted inputs to drive optimized results. A successful candidate is proficient at analyzing large datasets over multiple domains, skilled at using various machine learning and statistical techniques to create solutions realizing clear business values, and proficient at developing optimization models. You will help lead the data science team and work on commercial-facing development projects. Last but not the least, you should share the same passion for eliminating carbon emissions through innovative technologies.

This is a full-time paid position based at our HQ office in Mountain View, CA. While this posting is listed for SF Bay Area, CA, we are open to hiring throughout the US

Key Responsibilities:

  • Dive into underlying data, apply relevant Data Mining techniques, Machine Learning algorithms, and/or optimization models to improve the product decision making
  • Assist in the implementation of the applicable Machine Learning or statistics-based algorithm for forecasting and optimization
  • Develop, improve, and validate optimization models to be used in order to autonomously operate a growing portfolio of sites
  • Leverage understanding of optimization, modeling, and control to support energy management capabilities
  • Experience in applying Linear Programming, Mixed Integer Programming, Convex Optimization, and solution algorithms
  • Problem-framing, problem-solving, and technical breakdown of operational requirements to development work
  • Translate quantitative data into visual reports for non-technical audiences and provide a clear analysis of the data
  • Identify areas where improvements in data analytics can bring more value to clients
  • Provide mentorship in the development of company standard processes around data analytics, dashboarding, and reporting
  • Prepare reports for leadership that communicate trends, patterns, and forecasts to advise business decisions
  • Work hand in hand with software engineers, architects, and DevOps to deploy your models into production
  • Mentor, grow, and foster high-performance teams of in-house data scientists and ML experts

Job Requirements:

  • B.S. Degree in STEM field
  • 6+ years’ experience developing machine learning, optimization, or sophisticated data models
  • Strong Python and SQL skills (experience using dbt and BigQuery is a plus)
  • Experience with optimization modeling packages such as PYOMO, CVXPY, or solver APIs (e.g. Gurobi, CPLEX, Xpress)
  • High proficiency in EE or power conversion theory
  • Ability to use and develop optimization models to use with common commercial solvers (e.g., CPLEX or Gurobi)
  • You are open and willing to help others learn and look to learn from others, as well
  • You make thoughtful recommendations that consider impact, urgency, and long-term implications and know when to say no
  • An ability to lead and drive projects forward with strong communication and partner leadership skills
  • Ability to thrive in a fast-moving, evolving, and high growth environment

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