Essential Duties/Responsibilities: 



- Apply statistical modeling or machine learning algorithms to optimize marketing efforts with respect to customer acquisition, retention, attrition, and margin enhancement 

- Lead and help develop more junior analysts 

- Work with the marketing team to plan and analyze A/B tests 

- Quantify the effects of various marketing levers 

- Produce models that predict consumer behavior responses to various marketing mix levers 

- Help executives monitor the pulse of the business by automating reports of key performance indicators 

- Develop useful visualizations 

- Translate, communicate, and present results and recommendations to a non-technical audience 



Education: 



Bachelor’s degree in Statistics, Computer Science, Economics, Engineering, Mathematics, or Operations Research required. 

Advanced Degree (MS or PhD) in a quantitative field is strongly preferred, such as Statistics, Computer Science, Economics, Engineering, Mathematics, or Operations Research. 



Experience: 

- 3+ years in statistical modeling and quantitative analysis in industry or full time academic research

- Previous retail electricity market experience preferred 

- Previous marketing experience preferred 

- Experience analyzing weblog data a plus 

- Kaggle competition experience also a plus 



Have you done any interesting analytics projects for fun? We would love to see them! 



Technical Skills: 



- Statistical modeling and analysis skills 

- Strong general programming skills 

- Proficiency with Python, including pandas and scikit-learn 

- SAS and R programming a plus 

- Strong SQL skills / understanding of relational databases 

- Comfortable working in Linux 

- Excel guru 

- Git for version control 

- Bayesian Statistics a plus 

- Survival modeling a plus 



Additional Knowledge, Skills and Abilities: 



- Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects 

- Solid understanding of the use and interpretation of graduate level multivariate statistical techniques and sampling methods, such as multi-variants regression, ANOVA, factor analysis, cluster analysis, and principal components analysis 

- Ability to interpret complex analytic results and develop practical business implications 

- Understanding of the utility business, to include service process, market structure/pricing and competitive environment 

- Good communication skills 

- Strategic marketing mindset and firm understanding of key marketing and financial concepts 

- Keen attention to detail 

- Ability to work as a team member in a fast paced environment 

- Demonstrated ability to learn and apply new technologies and new analytics models/techniques as needed 

- Think critically about analyses to ensure the conclusions make sense before sharing

IMPORTANT: All resumes must be submitted with a brief summary that outlines the key qualifications required for this position as per the job description. Please be sure to showcase all skills and experience relevant to each requirement for THIS particular job. This write-up will be forwarded to the client along with the resume.

PAYABLE TERMS

Recruiters receive contract commission payments once per month. Payment is processed after the contractor's work is verified at the end of the month. The commission is paid out on the first pay period of the following month. Depending on when your candidate starts, the first payment may take 4-6 weeks to receive.