Description

　　SPS inventory management service team executes planning, automation and operational workstreams across the entire lifecycle of inventory management. The team further enables new business models and works with specialty businesses like Softlines, H&B, SSD amongst others from inventory management perspective. Our vision is “to make Amazon.in as the best marketplace for our internal (Categories, Operations) and external (P3P sellers, Vendors) customers with automation and process improvements”.

　　Key job responsibilities

　　Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models in Demand Forecasting

　　Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering)

　　Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.

　　Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area

　　Innovate by adapting new modeling techniques and procedures

　　Passionate about working with huge data sets ( training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets

　　Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.

　　Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

　　Have basic Data Engineering skills to deploy the models in AWS environment

　　We are open to hiring candidates to work out of one of the following locations:

　　Bengaluru, KA, IND

　　Basic Qualifications

　　2+ years of data scientist experience

　　3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

　　3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

　　Experience applying theoretical models in an applied environment

　　Preferred Qualifications

　　Experience in Python, Perl, or another scripting language

　　Experience in a ML or data scientist role with a large technology company