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Consultant - Energy Sustainability & Infrastructure, Analytics - Campus 2024

Applications are closed

  • Job
    Full-time
    Entry Level
  • Data
  • $71.8K - $107.6K
  • San Francisco, +4

Requirements

  • Minimum Years of Experience: 0 years
  • Minimum Degree Pursued: Bachelor’s or Masters Degree (Must still be enrolled in an accredited degree program in summer of 2023 and graduate by June of 2024)
  • Applicants must be currently authorized to work in the country
  • No sponsorship is available for this position
  • What Would Be Nice To Have:
  • Academic Backgrounds Preferred: Data Science, Statistics, Applied Math, Computer Science/Computer Information Systems, Operations Research, Economics, Environmental Engineering/Science, Computational Physics or other analytics degree
  • Passion for clean energy transition including energy efficiency and conservation, transportation and building electrification, solar/storage, decarbonization, resilience
  • Knowledge of analytical models, methods, applications and tools, such as statistical analysis, regression modeling, predictive modeling, simulation, machine learning and selecting and applying the right analytical techniques
  • Analyzing large and complex data sets, with strong aptitude for conducting quantitative analysis
  • Proficiency in one or several programming languages, such as Python or R
  • Proficiency with spreadsheets, word processing, and slide presentation software
  • Experience working in teams to produce high-impact work products, reports, and other deliverables in a fast-paced environment
  • Possesses strong oral and written communication skills
  • Heightened attention to detail, and the ability to create and edit technical and non-technical written work products and graphical presentations
  • Ability to view problems from multiple angles and apply a variety of solutions to solving them
  • Ability to participate in client-facing discussions and meetings
  • Ability to synthesize information quickly and learn new skills

Responsibilities

  • Analyze large and complex data sets
  • Develop models leveraging statistical analysis, regression modeling, optimization, predictive modeling, simulation, machine learning, economic models
  • Program (Python, R) and use source code version control technologies (Git)
  • Conduct research and analysis on energy-related activities
  • Interpret and communicate the implications of technical findings to non-technical internal and external audiences
  • Contribute to report development, presentations and client requests
  • Ability to manage time and tasks independently
  • Ability to work effectively with teams; work independently as needed

Consulting
Industry
10,001+
Employees
2018
Founded Year

Mission & Purpose

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.