Data Scientist - Pricing Analytics - SQL/Python/R/BigQuery - eCommerce

Role comprises of following activities :

Please note people having similar skillets and are from product based E commerce companies should apply.

- Develop pricing strategies based on quantitative data analytics and provide recommendations to mitigate loss ratios.

- Apply statistical methods to build and optimize pricing models utilising the impacts on business performance.

- Experience building and interpreting machine learning models on real business data, e.g. na- ve Bayes, Random Forests, boosted trees, etc.

- Ability to merge different data sources covering both structured and unstructured formats.

- Collaborate with peers, engineers, data scientists and product teams.

- Design and implement dashboards for the management to track pricing related metrics. 

Qualifications.

- 4-6 years of experience in data analysis engagements.

- Proficiency with R, Python and SQL language is required. Familiarity with functional programming languages is a plus.

- Expertise in handling BigData tools (e.g., BigQuery) to evaluate and draw insights from very large data sets.

- Design, develop and validate statistical models for supporting pricing decisions.

- Recommend and refine ongoing improvements to pricing models and algorithms.

- Understanding of financial metrics and the ability to leverage pricing decision using financials is an advantage.