Senior Data Scientist
REC10021929 Houston, TX Updated 1d ago
Positions 1
Type Contract, Contract - Option to Extend (6m)
Salary $52 - $60 /hr
Bachelor's Degree
2-5 years
No - Local candidates only
Green Card ,US Citizen

Job description

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.
• 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 a firm understanding of key marketing and financial concepts. 
• Have you done any interesting analytics projects for fun? We would love to see them!

Pay Details



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