Data Scientist – Retail Analytics

July 9, 2021
Houston, TX
Job Type


Our energy client, located in downtown Houston, is looking for a Data Scientist with 3+ years of statistical modeling, quantitative analysis, and python experience to join their team. In this dynamic role you will leverage data via predictive modeling, statistical analysis, and optimization. If you love data, programming, creative problem solving, and communicating results, we want to talk to you! 

No C2C or employment sponsorship is available at this time. 

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

If you are interested in this Data Scientist role then please click APPLY NOW. For other opportunities available at Modis IT go to   If you have questions about the position or would like more information please contact David Baio at [Click Here to Email Your Resumé]

Equal Opportunity Employer/Veterans/Disabled

The Company will consider qualified applicants with arrest and conviction records.  

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to

The Company will consider qualified applicants with arrest and conviction records

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