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
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