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Data Scientist - Intelligent Solutions

Job Description

JP Morgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management, and private equity.
JP Morgan Intelligent Solutions (JPMIS) is a new group considering ways to transform our data assets into opportunities for JPMorgan Chase by leveraging the vast amount of proprietary data across the firm.   Protecting and managing intellectual property effectively as well as utilizing it to develop solutions that are both customized and scalable will enable the firm to create value for our shareholders.
As a Data Scientist, you will be a high-level problem solver who uses advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling, to develop solutions that help businesses and organizations operate more efficiently and cost-effectively. Work with the business to analyze business requirements and data feeds to best support business vision and strategy. Create and organize agile development plans for application development.
What You Will Be Doing
  1. Analyze communications data and Utilize statistical natural language processing to mine unstructured data, and create insights; analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
  2. Collect and manage Domain Knowledge data to improve product performance
  3. Access, transform and analyze large amounts of user feedback data
  4. Think critically about the relationships of different metrics measured by the product to land the right features for a given model
  5. Challenge our current best thinking, test theories, evaluate feature concepts and iterate rapidly
  6. Design schema and data structure improvements working closely with the software team
  7. Build document clustering, topic analysis, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging methods for unstructured and semi-structured data
  8. Cluster and analyze large amounts of user generated content and process data in large-scale environments using Hadoop and Spark
  9. Develop and perform text classification using methods such as logistic regression, decision trees, support vector machines and maximum entropy classifiers
  10. Develop methods to support and drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; Communicate results and educate others through reports and presentations
  11. Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns
  12. Never settle for good enough, constantly push the limits of how impactful we can be.
What You Need for this Position
  • 5+ years experience developing data models, product examples of your work
  • Solid fundamentals, machine learning concepts, regression, clustering, Bayesian modeling, probability theory, stats
  • Experience managing and growing a data science team
  • Fluent in Python
  • Expertise with database systems, SQL/NOSQL
  • Experience with parallelization tools Hadoop/MapReduce
  • BS College degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields (strong mathematical/statis background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
  • Strong analytical , presentation and writing skills
  • Strong  MS Office skills; including Excel  - ability to present ideas in user-friendly language
  • Experience/understanding of business process reengineering and business modeling concepts, business systems development and analysis
  • Awareness of business and IT strategy
  • Able to prioritize and execute tasks in a high-pressure environment
  • General knowledge of financial services concepts , products and marketing of those
Req #: 160037449
Location: New York, NY US
Job Category: Technology
Employment Type: Full Time
Potential Referral Amount: 0 US Dollar (USD)

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