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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Senior Associate - **Company:** JPMorgan Chase & Co. - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Adobe Analytics, Artificial Intelligence, Amazon Web Services, Data Analysis, Data Presentation, Python (Programming Language), Logistic Regression, Machine Learning, Azure Machine Learning, SQL Databases, Tableau (Software), Chatbots, GitHub Copilot, Large Language Models, Random Forest, Prompt Engineering, Data Analytics, Xgboost, Alteryx - **Published:** July 2, 2026 - **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210762884 ## About the Role * 3+ years relevant experience in AI/ML, data science, or related fields. * Strong background in analyzing and translating digital customer behavior data into actionable insights and recommendations for Business leaders. Experience defining KPIs, measurement frameworks, and anomaly monitoring for digital products. * Proficient in developing predictive models and utilizing ML algorithms such as logistic regression, KNN, random forest, and Gradient boosting for classification problems. * Solid understanding of statistical concepts for data analysis and experience with designing and evaluating A/B experiments. * Experience with Adobe Analytics, Tableau, Alteryx, SQL, Python, and AWS. * Expertise in prompt engineering and AI-assisted development using LLM Suite, GitHub Copilot Skills, VS Code, etc. to improve LLM output quality and reliability while boosting daily workflow productivity and innovation. * Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution. * Demonstrated initiative in learning and applying AI/LLM technologies to business problems and projects. * Skilled in synthesizing and presenting business insights, recommendations and complex analytical results to executives, business partners, and technical resources across various teams. ## Description As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advance analytics and AI/ML to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives. You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams to translate complex business questions into analytical and AI/ML solutions. The ideal candidate is a hands-on analytics practitioner who combines strong technical skills, business judgment, intellectual curiosity, and a passion for applying modern analytics and technology to deliver business outcomes., * Conduct deep-dive analyses to generate actionable insights and recommendations that streamline business processes and uncover potential areas for product innovation and growth * Present insights and recommendations to Auto Business leaders using data-driven storytelling to help guide the strategic direction of the organization * Partner with Business, Product and Technology teams to implement data-driven strategies and models/algorithms that drive business growth and customer engagement * Develop and apply advanced statistical analyses and mathematical models to analyze complex data trends and patterns * Leverage AI tools (e.g., LLM Suite, GitHub Copilot, etc.) to work more efficiently, accelerate analysis, and identify opportunities for innovation * Understand end-to-end digital customer engagement funnel and derive insights on how to improve conversion rates * Evolve and refine measurement frameworks and KPIs for customer measurement, highlighting anomalies or trends to senior leaders ## Related Videos - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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