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JPMorgan Lead Geospatial Data Scientist - CB Distribution Analytics United States, Ohio
Work with partners in Real Estate, Corporate Strategy, Distribution Strategy, Data and Analytics, and various lines of business to understand and document analytic project objectives, deliverables, and timelines. Ensure constant...
Develop and document innovative AI/ML models with a focus on GenAI and LLM use cases (using out-of-the-box models). Execute AI/ML model development, ensuring alignment with organizational goals. Document use cases...
: Evaluate, document, and socialize portfolio-level customer needs, value propositions, and user journeys; weight and prioritize competing user needs / values; define user stories, epics, experiential goals, and behavioral success...
Lead the transformation of firm’s Interest Rate Risk platform as an integrated risk data capture, aggregation, calculation, and reporting platform, leveraging the firm’s risk models for measuring interest rate risk....
Lead collaboration with Data Owners and Line of Business Data & Analytics teams to define objectives and develop data-driven solutions for complex business challenges. Oversee the migration of JIRA and...
Lead the design, development, and implementation of state-of-the-art Generative AI models to automate tax-related processes and improve efficiency. Collaborate closely with cross-functional teams to understand business requirements and challenges. Stay...
Advise cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies. Develop roadmaps aligned with business and architecture strategy and priorities. Create complex...
Work with partners in Real Estate, Corporate Strategy, Distribution Strategy, Data and Analytics, and various lines of business to understand and document analytic project objectives, deliverables, and timelines. Ensure constant...
Expoint's Principal Applied Scientist role is a unique opportunity for an experienced AI/ML/Data Scientist to work in an innovative and cutting-edge environment. The position requires a strong knowledge of applied machine learning with extensive experience building predictive and inferential models, as well as developing complex algorithms to solve unique problems. As the most knowledgeable person in the company, the Principal Applied Scientist will be a visionary leader and play a key role in research and development, creating innovative solutions that drive value for Expoint customers.
The successful candidate will be highly skilled in developing predictive and inferential models that leverage quantitative data, applying deep learning capabilities to enhance AI/ML algorithms, and will be able to design and develop distributed systems storing and processing large datasets. The Principal Applied Scientist must also possess strong interpersonal and presentation skills, be comfortable with communicating technical advice to a highly technical audience, and effectively explain complex topics in simple language.
The Principal Applied Scientist will bring a “big-picture” approach to their role at Expoint, utilizing their expertise in Big Data technology and developing implementation plans to solve unique problems. The candidate must be able to set up R&D innovation initiatives, develop and apply innovative methods to maximize customer engagement and usage, and remain progressive in the face of dynamic customer data-driven needs.
This position offers an exciting opportunity to work in a fast-paced environment and play a key role in driving Expoint’s success. With access to the latest techniques in AI/ML and data science, the Principal Applied Scientist will bring a unique skill set to the company’s ever-changing technological landscape. If you believe you have what it takes to drive innovation and growth, this is the perfect role for you.