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 up-to-date ML and AI concepts and should be able to optimize AI/ ML

outcomes

 Experience with REST APIs, Python Django/Flask

📌 Data Science_Avinash_Ecom Express (Gurugram)
🏢 Recognized
📍 Gurugram