Best Practices_Avinash_Ecom Express

JOB RESPOSIBILITIES:  Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress  Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability  Lead/Collaborate with a team of data scientists in developing and delivering machine learning models for production setting  Improve key organizational metrics through developing data-science based solutions  Perform data wrangling and due diligence activities on data quality  Supervising the data acquisition & labeling process if more data is needed  Performing Exploratory Data Analysis (EDA), defining the preprocessing or feature engineering to be done on a given dataset, developing Machine Learning models, validating models, deployment, etc.  Collaborate with the application development team for deploying the models  Proactively drive impact to business by owning the data science initiatives end-to-end and collaborating with other stakeholders  Collaborate with the Operations, Network, Control Tower and Business Analysis team to develop cutting edge analytics solutions that improve the business  Maintain thorough and comprehensive documentation of data science initiatives  Develop robust work products by following best practices through all stages of development, testing & deployment

ELIGIBILITY:  BE/Tech in Engineering, Masters/PhD candidates preferred  Strong background in strong in Data Science, Computer Science, Operations Research & Statistics concepts  Deep understanding of statistical modeling, machine-learning approaches & deep-learning  Experience in optimization algorithms, or experience working with unstructured datasets for Natural Language Processing or Image Analytics would be preferred  Extensive experience solving analytical problems using quantitative approaches for large datasets. Experience in using Big Data platforms, Spark & Hadoop platform would be preferred  Proficient in Python & R, with sound knowledge of OOPS concepts  Experience in AI solution development and / or integration  Excellent communication skills and ability to effectively manage stakeholders  Experience with working on a variety of data science use-cases across multiple domains  Excellent understanding of statistics, probability, linear algebra and other mathematical concepts that supports modern ML and AI concepts and should be able to optimize AI/ ML outcomes  Experience with REST APIs, Python Django/Flask