Job Description

Retail Analytics Senior Data Scientist
Job Number: 21-10719
 
Use your skills where innovative technology solutions begin. Eclaro is looking for a Retail Analytics Senior Data Scientist for our client in Houston, TX.
 
Eclaro’s client is a leading technology solutions provider, collaborating with customers to manage their needs and achieve success in their business goals. If you’re up to the challenge, then take a chance at this rewarding opportunity!
 
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
 
Required Qualifications:
  • 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
  • Survival modeling
  • Comfortable working in Linux
  • Knowledge of Econometrics
  • Experience with optimization algorithms
  • Hadoop experience with big data
  • Previous marketing experience
  • Previous retail electricity experience
  • SAS or R programming
 
Required Skills:
  • 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
 
If interested, you may contact:
Paula Ereño
Paula.Ereno@eclaro.com
854-202-8244
 
Equal Opportunity Employer: Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Application Instructions

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