JPMorgan Lead Software Engineer - Data Scientist/Engineer 

United States, Ohio, Columbus 

45494343

Job responsibilities

• Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions.
• Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
• Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.

Required qualifications, capabilities, and skills

• Formal training or certification on Data Scientist/Engineer and 5+ years applied experience
• Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research).
• Proven Software Engineering Expertise, building, maintaining and deploying enterprise grade solutions with resiliency and fault tolerance using modern engineering principles and practices.
• Strong hands-on experience of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
• Strong hands-on experience of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
• Experience in analyzing complex problems and translating it into an analytical approach.
• Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, LLMs
• Experience with analytical programming languages, tools and libraries (Python ecosystem).
• Good grasp and knowledge around using Numpy, Matplotlib, Pandas and Seaborn libraries for everyday statistical tasks, hypothesis validation and any presentation required
• Experience in SQL and relational databases, Big Data technologies e.g. Spark/Hadoop and Cloud technologies.
• Strong leadership, stakeholder management, communication, partnership and teamwork skills.