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    Senior Data Scientist - Redwood City, United States - AutoGrid Systems

    AutoGrid Systems
    AutoGrid Systems Redwood City, United States

    2 weeks ago

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    Description

    Job Description

    Job Description

    About AutoGrid

    The world's leading energy companies turn to AutoGrid to integrate all distributed energy resources, turn on new revenue streams and drive deeper engagement with their customers. Our suite of Energy Internet applications allows utilities, electricity retailers, renewable energy project developers and energy service providers to deliver clean, affordable and reliable energy in a distributed energy world.

    How do we do this? By pioneering the science of flexibility management. This innovative approach enables energy providers to mine the Energy Internet's rich data lode to extract flexible capacity from distributed energy resources. In turn, flexible capacity can be used to balance energy supply and demand in real time, increase the productivity and value of energy assets, and deliver new energy services to customers

    Established at Stanford University in 2011, we have assembled a team of world-class software architects, electrical and computer engineers, data scientists and energy experts who apply cutting-edge analytics and in-depth energy data science to solve the world's most critical energy problems.

    About the Role

    As Senior Data Scientist, you would be working with a team of other data scientists on the core optimization capabilities of the company in an agile environment. Experience in energy / utility or related markets is desirable but not necessary. Experience in building mission critical, highly scalable optimization applications is a must. Candidate should have a deep understanding of various optimization algorithms as well as practical experience of working with open-source and commercial solvers.

    Responsibilities

    • Develop and maintain the optimization models and software implementation that drives AutoGrid's predictive controls platform for managing distributed energy resources
    • Benchmark and debug critical issues with the algorithms and software as they arise
    • Contribute to improving scalability and reliability of the system
    • Work with product owners to develop new features and capabilities

    About You

    • B.S., MS., or Ph.D. in computer science, operations research, industrial engineering, or related field
    • Experienced with solving large optimization problems using linear / non-linear / integer / dynamic / stochastic programming, as well as heuristic approaches
    • Deep understanding of algorithms, data structures, performance optimization techniques, relational databases, and software development in a team environment
    • Excellent programming skills in Python, Java or C++
    • Experience with optimization modeling languages (e.g. Pyomo, GAMS) and solvers (e.g. CBC, Cplex, Gurobi)

    Nice to Have

    • Experienced with decomposition approaches to solving large-scale optimization problems
    • Hands-on experience with time series forecasting
    • Understanding of energy and capacity markets
    • Experience with frameworks such as Redis, Kafka, Celery, Hadoop/Spark
    • Start-up experience, entrepreneurial spirit, energetic

    Benefits and Perks

    • Working with a smart, collaborative, and fun group of people solving big important problems
    • An exciting atmosphere, and an outstanding work/life balance
    • Beautiful, spacious, modern office in Redwood Shores
    • Flexible hours and choice of computer (Mac, Ubuntu, Windows)
    • Competitive salary and equity
    • Competitive health care, dental, and vision coverage
    • Excellent 401(k) and flexible spending plans
    • Three weeks of paid time off annually, in addition to 10 paid public holidays
    • Life, short term and long-term disability, supplemental, and AD&D insurance
    • Commuter transit, parking, biking, vanpool and park & ride benefits

    AutoGrid is an equal opportunity employer. We do not make hiring, employment or promotion decisions based on race, religion, color, sex, age, national origin, ancestry, sexual orientation, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.

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