Senior Data Scientist

July 18, 2021
Houston, TX
Job Type


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.

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.
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