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:
 Strong background in robust 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 conc

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