We are looking for a Data Scientist/ML Engineer to join our technology team to solve exciting business problems in the domain of commercial banking, payments and financial services.

Job Summary

As an Applied AI/ML, Sr. Associate in our technology team, you will be expected to have a strong curiosity for data and a proven track record of successfully applying rigorous scientific methods with proficiency in ML Engineering and DevOps capabilities. This is a unique opportunity to apply your skills and have a direct impact on global business. You will be building and training production-grade ML models on large-scale datasets, developing end-to-end ML pipelines, and collaborating to develop large-scale data modeling experiments. Your expertise in Python, PySpark, DL frameworks like TensorFlow, and MLOps will be crucial in this role.

Job Responsibilities

• Build and train production grade ML models on large-scale datasets to solve various business use cases for Commercial Banking.
• Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.
• Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection.
• Build ML models across Public and Private clouds including container-based Kubernetes environments.
• Develop end-to-end ML pipelines necessary to transform existing applications and business processes into true AI systems.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations. 
• Collaborate to develop large-scale data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.

Required qualifications, capabilities and skills

• Advanced Degree in field of Computer Science, Data Science or equivalent discipline.
• A minimum of 3 years working experience as a Data Scientist.
• Expertise with Python, PySpark, DL frameworks like TensorFlow and MLOps.
• Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms).
• Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite).
• Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization).

Preferred qualifications, capabilities and skills

• Experience working with end-to-end pipelines using frameworks like KubeFlow, TensorFlow and/or crowd-sourced data labeling a plus.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans