Sr Data Scientist - Retail Customer Analytics

Sr. Data Scientists perform moderately complex statistical analysis on business/customer data and identify, analyze, interpret, and validate trends and patterns to locate influences and uncover business opportunities or solutions to business problems. They work on customer analysis and business reporting projects including experimental design, designing analysis and campaign frameworks, retail customer and sales analysis, campaign response analysis, and ROI modeling. They deliver statistical models such as segmentation, regression and other propensity models, decision trees, and other mathematical models.

Requirements:

- Master's Degree in Statistics, Mathematics, Marketing Analysis, Engineering, or equivalent

- Minimum of 8 years customer analysis experience

- Experience delivering analysis that has driven profitable outcomes. This will include the following: customer profiling and segmentations, predictive analysis, campaign targeting, response analysis, customer insight reporting

Experience with data manipulation and analysis using SQL, NoSQL, Java, MapReduce, HIVE, Python, SAS, Salford TreeNet, R, and machine learning approaches such as Mahout, Spark

Willingness to learn new skills

Exceptional communication and presentation skills

Self-motivation and strong ability to meet deadlines in a collaborative, project focused environment

Retail background plus

Other/Desired:

- Experience with CRM and Data Mining technologies (e.g., Alterian, Portrait, Neolane, or Unica)

- Prior success with the creation and deployment of BI reports using technologies such as Information Builders, Tableau, SSRS or similar

- Solid understanding and experience of SPSS, SAS, SQL, R or other statistical package (R HIGHLY preferred)

- Prior work experience within retail customer analytics.

Divya