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CIB_DataScience_Associate_Mumbai

Zoek Pin Mumbai, Maharashtra

Permanent (Full time)

Posted 9 days ago

Job Description Responsibilities • Collaborate with Operations teams to formulate relevant financial and business questions that can be answered by data analysis. • Research and analyze data sets using a variety of statistical and machine learning techniques • Communicate final results and give context. • Document approach and techniques used. • Work on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases. • Collaborate with other JP Morgan machine learning teams. Required Technical Qualifications and experience • 4-7 years of relevant experience. • MS or PhD in a quantitative discipline, . Computer Science, Mathematics, Statistics, Operations Research, Data Science, or similar BS with experience in a highly quantitative position. • Hands-on experience analyzing data. • Strong ability to develop and debug in Python or similar professional programming language. • Problem solving and collaboration skills Nice to Have • Experience with natural language processing (NLP). • Ideally, some experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels). • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. • Should be able to work both individually and collaboratively in teams, in order to achieve project goals. • Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems. • Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals. • Must be able to independently research and propose alternatives with some guidance as to problem relevance. • Must be able to undertake basic and advanced EDA, may require some direction from more senior team; should be aware of limitation and implication of methodology choices. • Ensures re-use and sharing of ideas within team and locale. • Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders. • Shows institutional awareness and some understanding of applied problem solving, may require coaching and guidance as to how to most rapidly reach a satisfactory conclusion

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