Data Scientist

Downtown Houston (Remote for short term)
Job Terms:
Start date:
Posted By:
Michelle Yelverton

Job Description:

We are seeking a Data Scientist for one of our valued clients in the Energy industry. This role is a 6 month assignment and highly like to extend beyond that. 

This role is remote (in Houston) until the company goes back into the office. Candidates need to be local to Houston.

Our client appllies advanced analytics and modeling to address challenging business problems. Within our Texas mass markets retail business our client aims to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analysis, and optimization. If you love data, programming, creative problem solving, and communicating results, you will fit right in.

Essential Duties/Responsibilities:
• Apply machine learning or Bayesian statistics to optimize marketing efforts with respect to customer acquisition, retention, attrition, cross-selling, and pricing.
• Cooperate with software engineers to automate reports and develop applications.
• Work with the marketing team to plan and analyze A/B tests.
• Develop useful visualizations.
• Translate, communicate, and present results and recommendations to non-technical audiences.
• Lead and help develop junior analysts.

Working Conditions:
• Open office environment.
• Some overtime required as special projects arise.
• Client is a fast-paced company with a significant volume of projects. Change is the norm.
• Some travel may be required.

Minimum Requirements:
• Bachelor’s degree in one of the following: Statistics, Mathematics, Physics, Computer Science, Economics, Engineering, Operations Research, Industrial Engineering or a STEM related degree.
• 3+ years in statistical modeling and quantitative analysis in industry or full-time academic research.
• Proficiency with Python.
• Statistical modeling and analysis skills.
Preferred Qualifications:
• Advanced Degree (MS or PhD) in a quantitative field is strongly preferred, such as Statistics, Mathematics, Physics, Computer Science, or Economics.
• Strong SQL skills/understanding of relational databases.
• Knowledge of Bayesian statistics preferred.
• Survival modeling preferred.
• Comfortable working in Linux a plus.
• Knowledge of Econometrics a plus.
• Experience with optimization algorithms a plus.
• Hadoop experience with big data a plus.
• Previous marketing experience a plus.
• Previous retail electricity experience a plus.
• SAS or R programming a plus.

Additional Knowledge, Skills and Abilities:
• 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.
• Demonstrated ability to learn and apply new technologies and new analytics models/techniques.
• Ability to work as a team member in a fast paced environment.
• Good communication skills.
• Ability to translate complex business issues into achievable analytical learning objectives and actionable analytical projects.
• Strategic marketing mindset and firm understanding of key marketing and financial concepts.
• Have you done any interesting analytics projects for fun? We would love to see them!