Scalar Solutions is looking for a Data Scientist (Customer Segmentation) who will work with the Customer Marketing department of our client to build and deploy data science models in support of sales & marketing operations. The Data Scientist will report to the Head of Analytics and will join an established Analytics department.
Date Posted: 1/13/2022Location: Princeton, NJ (Temp Remote) Project Duration: 18months+Job Type: Full timeJob Responsibility:
Measure promotional uplift of marketing activities more generally.
Optimize promotional spending against key strategic objectives.
Work closely with the marketing department to build proper A/B tests, set up the correct experimental framework, and continually refine and update tactics.
Develop and produce predictive models including linear regression, autoregressive distributed lag models, or logistic models to model customer behavior.
Leverage data science techniques including cluster analysis, K-means, KNN, decision trees, principal components, or others as needed to answer specific business questions as required.
Create new models for customer segmentation.
Maintain customer lifetime value predictive models, and leverage survival analysis to estimate the impacts of certain covariates on customer longevity.
Requirement:
· Master’s degree in Engineering, Data Science, Physics, Economics, or other related fields • Experience in uplift modeling. • Experience in A/B testing or other types of marketing analytics. • Experience with data science techniques including regression, logistic, cluster analysis, KNN, k-means, support vector machines, Bayesian analysis, decision trees, and light gradient boosting models. • Working knowledge of SQL. • Working knowledge of Python • Expertise in traditional predictive models.
About Scalar Solutions:
Scalar Solutions is an IT Staffing and Digital Consulting firm that specializes in designing and implementing solutions related to business intelligence, data science, and cloud. We are located in New York Metro area with offices in North Carolina and India.
