Data Scientist

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Data Scientist

Metco Engineering

Remote (Work From Home) USD 24 - 60 K PA Experience : 1 - 10 YRS. Openings: 3


  • METCO provides customized energy solutions backed by over 15 years of industry experience and cutting-edge research.
  • Our dedicated team develops futuristic ideas to meet energy needs with a data-driven and cost-effective approach.
  • Our experts, from diverse and extensive backgrounds, have implemented solutions that are resilient, sustainable, and energy-efficient.

Min. Qualification:

  • Minimum one year of professional experience building predictive and descriptive statistical models
  • Graduate degree (M.S., Ph.D. preferred) in a quantitative discipline
  • Extensive experience working with large datasets
  • Experience with complex predictive Time Series models and methodologies 
  • Knowledge, experience, and expertise in diverse statistical and data mining techniques (e.g. - GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, Neural Networks, Deep Learning, etc)
  • Demonstrated proficiency with statistical packages in Spark ML-Lib, Python, R, or SAS 
  • Understanding of RDBMS and interactive SQL programming skills
  • Ability to program in Python, Scala, R, or SAS 
  • Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) 

Skills Required:

Python, R, Cloud technologies


  • Forecasting Learning Algorithms using Machine Learning and optimization strategies to solve problems not limited to Energy Forecasting, Motor Fault Detection, Energy Disaggregation, and anomaly detection 
  • Forecast Optimization algorithms for Energy Storage
  • Control Strategy Optimization for Building Automation i.e Smart Buildings
  • Forecasting Algorithms and Optimization strategies for Building Energy Management (BEM) & Demand Response 
  • Discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products
  • Applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products
  • Suggest and develop innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as meet design requirements and project timeline
  • Lead research, evaluation, and recommendation of internal and external data sources and coordinate with a data resource
  • Serve as the senior technical expert for leadership on data cleansing, variable creation, variable transformation, etc. As well as best-practices in the creation of analytic datasets
  • Serve as the consummate technical expert in model development and validation analyses - from driving pragmatic practice of methods to devising novel solutions and diagnostic measures to coaching and mentoring junior staff
  • Provide significant input to Product Management on implementation specifications and production testing
  • Review reports and make recommendations for needed model refits/enhancements
  • Keep abreast of business trends/product needs
  • Other duties as assigned by the Management

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