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Data Scientist Sr Associate

5.00 to 13.00 Years   Bangalore   26 Sep, 2022
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaIT Operations / EDP / MISBio Tech / R&D / Scientist
EmploymentTypeFull-time

Job Description

    In EECT Machine Learning at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across all the employee experience and corporate functions, including HR, CAO, Audit and Legal.The Sr Associate Data Scientist will help build robust and scalable solutions for various banking domains, and also enable the services to be deployed and integrated into existing business workflow. This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the business processes of a leading global bank. Key Requirements of the Role:
    • Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research).
    • Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
    • Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
    • Experience in analyzing complex problems and translating it into an analytical approach.
    • Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.
    • Experience with analytical programming languages, tools and libraries (Python ecosystem preferred, but R will be considered).
    • Experience in SQL and relational databases, Big Data technologies e.g. Spark/Hadoop and Cloud technologies.
    • Good understanding of programming best practices and building for re-use.
    • Strong leadership, stakeholder management, communication, partnership and teamwork skills.
    • Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision.
    ,

Keyskills :
machine learningpythondata analysissqlanalyticstime series analysisbig datadata miningtext miningtime seriesdata sciencedecision treesneural networkscomputer science

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