JPMorgan Chase & Co. jobs - Data Scientist Associate

The Data Scientist Associate role  is responsible for executing big data analytics projects in response to product innovation for Merchant Services. Tangible output of the programs are payments insights that drive optimization of authorization, chargeback and cost of payments for large merchants – as well as deep consumer and business insights. As the analytics mature, these insights can be productized into products for merchants (“insights as a service”).
The right candidate for this position is of course highly proficient with managing complex data sets, using modern statistical and data exploration practices and creating insightful visualizations (especially SQL on Hadoop, Tableau, python).  But you are also curious and creative, having the ability to organize stakeholder problems into clear business objectives for which you can create analytics solutions that deliver immediate value.   You have a strong desire to get your ideas off the drawing board, preferring to quickly develop prototypical solutions that you can hone and improve in collaboration with team mates and stakeholders.  You’re comfortable reaching out to subject matter experts to build your business knowledge and grow your understanding of pain points that represent analytic opportunities. You love a big challenge and are willing to learn new skills if needed to get the job done.  And you’re excited to develop subject matter expertise in a world-class payments organization and help develop the innovative analytics for the future of end-to-end payment optimization. 
 
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Principal Duties & Responsibilities:
- Develop and plan analytic projects through understanding the business objectives in the team strategy roadmap
- Develop robust analysis and deliverable plans to support clear and shared understanding of project requirements and goals
- Develop the data, queries,  tables and visualizations that deliver insight both as an individual contributor and in collaboration with team mates
- Through deep subject matter expertise, create actionable recommendations to merchants on how to optimize their payment performance
- Synthesize data sets to craft  actionable consumer insights that support merchant growth agendas
- Productionalize Tableau dashboards for resilience and the functionality users need
- Bring your creative solutions to the firm’s biggest problems: where could our existing solutions do better?
- In conjunction with data owners and department managers, contribute to the development of data models for future analytics and platforms
- Collaborate with unit managers, end users, development staff, and other stakeholders to understand the business value of each analytic effort
- Apply quality assurance best practices for analytics services and support user feedback and questions
- Adhere to change control and testing processes for modifications to code and products
Skills and Experience:
- Bachelor’s or Master’s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field
- 5+ years of working in a big data environment as a contributing member in self-directed roles
- Deep experience across a range of database and business intelligence tools (especially SQL on Hadoop (Hive, Impala),Tableau and python);
- Expertise in quantitative research techniques and analytics using R, python or MATLAB
- Knowledge of  ML/AI  packages like scikit-learn, TensorFlow, PyTorch
- Demonstrated ability to distill KPIs and other performance metrics from data
- Ability to perform rapid prototyping in Tableau
- Intensive, recent experience in assessing and sourcing data, optimizing data structure and managing database query performance
- Experience with Ctrl-M processes and QA/unit testing best practices
- Ability to clearly develop and document analytic requirements with stakeholders
- Experience in the payments industry and/or technology-enabled industries is desirable
- Strong aptitude for technical concepts and ideas
- High achievement orientation with ability to motivate others around results
- Ability to work well within deadlines
- Executive presence and presentation skills
- Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
- Proven strategic thinking and creative problem solving skills with ability to translate strategy into deliverables
- Strong written and oral communication skills
General Requirements:
- Build trust-based relationships; we succeed as a team
- Have strong interpersonal and communication skills and the ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
- Think creatively and contribute ideas at all levels of project development
- Have the ability and willingness to learn new things
- Meet deadlines and communicate obstacles to delivery as soon as they become known
- Demonstrate effective and confident presentation skills
- Be results oriented and have great attention to detail