ENGIE Insight, formerly Ecova, partners with multi-site businesses that aim to thrive in a sustainable world. With a foundation of accurate and comprehensive resource data - including energy, water, waste and telecom - we apply technology and people expertise to lower costs, drive efficiencies and reduce environmental impact. More than 1,000 customers, including 25%+ of the Fortune 500, turn to ENGIE Insight to help move their sustainable resource management initiatives forward.
ENGIE Insight's people are our greatest strength, bound by our vision to enable a sustainable world where people, organizations and the environment thrive. We are passionate about making our company and the world a better place; responsible in working with commitment and accountability; collaborative with our colleagues and clients, and agile enough to work in a dynamic, changing industry.
The wide-ranging expertise of our diverse team fuels the innovation that places us on the leading edge of the energy industry. As such, we nurture a company culture-through training, mentoring and professional development-that encourages all employees to thrive. If this the kind of place you see yourself working, we invite you to join ENGIE Insight.
*In order to be considered for the role, your resume must be attached in your application.
The Associate Data Scientist will be joining an industry-leading R & D team with extensive academic and industry experience in building energy analytics, solving physical system-based real-life big data problems. The Associate Data Scientist's work will support the development of new algorithms used to help solve the real-world energy problems.
Mine industrial-size data sets in various states of cleanliness for insights Refine and verify statistical and machine learning algorithms within the Analytics R & D group Assist the Analytics R & D team in running energy and algorithmic models and interpreting the results Evaluate business and technology tradeoffs and report them in a manner that product and business teams can make decisions on final specifications Role Competencies
BS required, advanced degree in Computer Science, Engineering, Statistics, or equivalent field desired Strong mathematical background with teachable knowledge of various analytic methodologies such as signal processing, model selection, model verification, optimization, artificial neural networks, Bayesian, etc0-3 years of experience developing, testing, and evaluating algorithms including statistical and machine learning Proficient in large-scale SQL/NoSQL database queries, with associated statistical analyses including the following areas: non-linear and multi-variate regressions, logistic regression, time series analyses, and probabilistic and classification models. Intermediate level knowledge of statistical tools (e.g., R, MatLab, etc.) Familiarity with scripting prototyping/scripting languages, e.g., Python Experience with real-world commercial data analytics and visualization Comfortable with working in a fast-paced multidisciplinary environment while maintaining strict customer data privacy requirements Uncompromising integrity and ethical standards Familiarity with cloud storage and processing technologies is desired
ENGIE Insight Information Our salaries are competitive and commensurate with experience. We are a performance-based culture and have goal-based incentive programs and generous employee benefits. Our comprehensive benefit package includes medical, dental, vision insurance, life, AD & D, short- and long-term disability insurance. We also offer flexible spending accounts and 401(k) with a generous employer match.
ENGIE Insight is an equal opportunity and affirmative action employer. All qualified applicants will be considered without regard to age, race, color, national origin, ancestry, sex, sexual orientation or preference, religion, marital status, citizenship, veteran status, or physical or mental disability.
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Posting Date: Jul 11, 2019
Power and Nuclear Science jobs in United States Associated topics: agrosciences, air monitoring, climate, conservation, ecology, epa, farm, ocean, sustainability, water
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.