JOB RESPOSIBILITIES: Understanding business objectives and developing models that help to achieve them, alongwith metrics to track their progress Analyzing the ML algorithms that could be used to solve a given problem and ranking themby their success probability Lead/Collaborate with a team of data scientists in developing and delivering machinelearning 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 featureengineering to be done on a given dataset, developing Machine Learning models, validatingmodels, 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 andcollaborating with other stakeholders Collaborate with the Operations, Network,
Control Tower and Business Analysis team todevelop 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 ofdevelopment, 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 datasetsfor Natural Language Processing or Image Analytics would be preferred Extensive experience solving analytical problems using quantitative approaches for largedatasets.
Experience in using Big Data platforms, Spark & Hadoop platform would bepreferred 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 mathematicalconcepts that supports contemporary ML and AI concepts and should be able to optimize AI/ MLoutcomes Experience with REST APIs, Python Django/Flask