Phd Data Scientist @ JPMorgan

Job Description

Description

• PhD completed in field of Artificial Intelligence / Machine Learning / Statistics / Data Science / Computer Science
• 2 to 5 years of industry experience with innovations in the field of AI/ML, NLP, Computer Vision
• Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, Computer Vision, NLP, Search Algorithms, Deep Learning Algorithms
• Will be responsible for to research and lead architecture, design and implementation
• Deep understanding of machine learning/statistical algorithms such as deep learning
• Create and Mentor other team members on research papers, journals and patent filings by contributing in research
• Experience in analyzing complex problems and translating to data science algorithms with due attention to computational efficiency
• Hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
• Ensure models are aligned to Responsible AI principles by exploring statistical frameworks.
• Experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience in using code versioning tools like GIT, bit bucket to collaborate on projects
• Authoritative experience in the field of Data Science to influence stake holders across varied work streams and geographical locations, ability to challenge the status quo to improve the base line models and the models which are already productionized.
• Perform literature review, analyzing existing solutions and techniques to identify deficiencies, and coming up with new techniques to improve these deficiencies.
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who s organized, has great attention to detail, and can multi-task
• Write code in Python to build, develop models, perform data exploration, analysis, what-if analysis, model comparison
• Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments.
• Willingness to learn AIoT, Edge AI, etc. and keep up to date with technologies

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Keyskills:   machine learning python data analysis sql analytics data science deep learning computer vision work effectively search algorithms position management communication skills written communication artificial intelligence mathematical programming git nlp edge lime whatif analysis