The Cadmus Group

  • Statistical and Econometric Consultant

    Job Locations US-OR-Portland | US-CO-Boulder | US-MA-Waltham
    Posted Date 4 months ago(3/15/2018 7:10 PM)
    Job ID
    2018-1439
    # of Openings
    1
    Category
    Senior Associate
  • Overview

    The Cadmus Group has an opening for a full-time Senior Associate to join our Energy Services Group. Energy Services provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations. Our talented, multidisciplinary staff provides comprehensive solutions to complex energy and sustainability problems.

     

    Qualified candidates will have several years of experience with program evaluation in the energy sector and are expected to play a strong role in business development, serving as technical experts within the company.

     

    Cadmus is a leading provider of consulting services to utilities, government agencies and the private sector in the areas of energy efficiency, renewable and distributed energy, sustainability, utility planning and forecasting, and other professional services.

     

    Responsibilities

    • Design and implement complex sample plans to achieve specific research objectives. Studies may involve stratification, two-stage cluster sampling, and ratio estimation
    • Select and apply appropriate statistical and econometric methods to estimate energy efficiency and demand response program impact
    • Justify and document technical decisions related to research planning and data analysis.
    • Report and present results and findings, as well as actionable recommendations to utility clients and regulators
    • Manage tasks or projects, monitor progress against milestones and budgets.
    • Supervise and mentor junior and mid-level staff
    • Develop and execute business development plan; deliver against annual sales and revenue targets

     

    Qualifications

    • MS in statistics or economics
    • Graduate coursework in sample design and design-based inference
    • 5+ years of work experience in energy efficiency or utility industry, including expirence in consulting or professional services
    • Strong command of basic statistical inference tools (e.g., power calculation, ANOVA, multivariate regression, discrete choice analysis)
    • Familiarity with advanced statistical methods (GLM, categorical analysis, and time series methods)
    • Expertise with programming in at least one statistical software package (e.g., SAS, R, Python, Stata, or MATLAB)
    • Manage multiple tasks or projects and work closely with other project team members
    • Record of success in developing new business or bringing in cumulative sales of $1,000,000 or more per year
    • Excellent written and verbal communication skills including ability to explain technical information to a lay audience
    • Desire to develop existing and new skill sets in a collaborative, fast-paced environment with colleagues who take pride in their company and enjoy their work
    • Strong familiarity with Microsoft Office products (e.g., Word, PowerPoint, Excel)

     

    Preferred

    • Ph.D. in statistics or economics with 3+ years of work experience
    • Familiarity with monitoring, verification, and evaluation in energy efficiency or utility field
    • Familiarity with program planning and design or program implementation in energy efficiency or utility field 

     

    Additional Information

     

    The preferred location for this position is Cadmus’ office in Portland OR, but qualified candidates in Boulder CO and Waltham MA will be considered.

     

    Cadmus is an Equal Opportunity, Affirmative Action Employer and considers all applicants for employment without regard to race, color, religion, sex, national origin, protected veteran’s status, or disability.

     

    Learn more about Cadmus by visiting our website at: http://www.cadmusgroup.com.

    Options

    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed