Lead the development and implementation of machine learning models, data processing pipelines, and data visualization solutions while collaborating with cross-functional teams.
Job Description
We have an exciting and rewarding opportunity for you to take your Data Scientist career to the next level.
As the Data Scientist Lead within our Machine Learning and AI team, you will have the opportunity to develop and productionize high-quality machine learning models, services, and platforms that create significant technological and business impact. You will collaborate with cross-functional teams to identify business requirements and develop data-promoted solutions using GenAI technologies. Your role will involve designing scalable data processing pipelines, building and maintaining data lakes, and implementing data visualization solutions to provide actionable insights. You will also champion a DevOps model to support the maturity of the ML development life cycle.
Job Responsibilities:
• Develop and productionize high-quality machine learning models, services, and platforms to create significant technological and business impact.
• Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes.
• Use LLMs for Generative AI applications, including text generation, classification, and question answering.
• Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using GenAI technologies.
• Build and maintain data lakes and data processing workflows using Databricks to support machine learning operations.
• Implement data visualization and analytics solutions using ThoughtSpot to provide actionable insights to stakeholders.
• Conduct research on prompt engineering techniques to enhance the performance of LLM-based models.
• Analyze and interpret complex datasets to evaluate model performance and identify areas for improvement.
• Communicate technical concepts and results effectively to both technical and non-technical stakeholders.
• Develop end-to-end ML pipelines for real-time and batch predictions and integrate them with existing applications.
• Champion a DevOps model and support the maturity of the ML development life cycle (MDLC).
Required Qualifications, Capabilities, and Skills:
• Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
• 8+ years of applied experience in data science, machine learning, or related areas.
• Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch or TensorFlow.
• Experience in building and managing data lakes and data processing workflows using Databricks.
• Proficiency in using GenAI models (OpenAI or similar) to solve business problems and in building AI Agents and MCP Servers
• Solid understanding of data structures, algorithms, and machine learning concepts.
• Experience in NLP and deep learning, with recent exposure to prompt engineering on LLMs and with big data technologies (Hadoop, Spark, etc.)
• Hands-on experience with MLOps tools and practices, ensuring seamless integration of models into production environments.
• Experience with Enterprise Cloud infrastructure and monitoring tools like Data Dog,, Splunk, Elasticsearch, and Grafana.
Preferred Qualifications, Capabilities, and Skills:
• Familiarity with data visualization tools like ThoughtSpot.
• Experience in developing APIs and integrating machine learning models into software applications.
• Knowledge of modern development technologies and tools such as Agile, CI/CD, Git, Terraform, and Jenkins.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
We have an exciting and rewarding opportunity for you to take your Data Scientist career to the next level.
As the Data Scientist Lead within our Machine Learning and AI team, you will have the opportunity to develop and productionize high-quality machine learning models, services, and platforms that create significant technological and business impact. You will collaborate with cross-functional teams to identify business requirements and develop data-promoted solutions using GenAI technologies. Your role will involve designing scalable data processing pipelines, building and maintaining data lakes, and implementing data visualization solutions to provide actionable insights. You will also champion a DevOps model to support the maturity of the ML development life cycle.
Job Responsibilities:
• Develop and productionize high-quality machine learning models, services, and platforms to create significant technological and business impact.
• Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes.
• Use LLMs for Generative AI applications, including text generation, classification, and question answering.
• Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using GenAI technologies.
• Build and maintain data lakes and data processing workflows using Databricks to support machine learning operations.
• Implement data visualization and analytics solutions using ThoughtSpot to provide actionable insights to stakeholders.
• Conduct research on prompt engineering techniques to enhance the performance of LLM-based models.
• Analyze and interpret complex datasets to evaluate model performance and identify areas for improvement.
• Communicate technical concepts and results effectively to both technical and non-technical stakeholders.
• Develop end-to-end ML pipelines for real-time and batch predictions and integrate them with existing applications.
• Champion a DevOps model and support the maturity of the ML development life cycle (MDLC).
Required Qualifications, Capabilities, and Skills:
• Advanced degree in Computer Science, Data Science, Mathematics, or a related field.
• 8+ years of applied experience in data science, machine learning, or related areas.
• Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch or TensorFlow.
• Experience in building and managing data lakes and data processing workflows using Databricks.
• Proficiency in using GenAI models (OpenAI or similar) to solve business problems and in building AI Agents and MCP Servers
• Solid understanding of data structures, algorithms, and machine learning concepts.
• Experience in NLP and deep learning, with recent exposure to prompt engineering on LLMs and with big data technologies (Hadoop, Spark, etc.)
• Hands-on experience with MLOps tools and practices, ensuring seamless integration of models into production environments.
• Experience with Enterprise Cloud infrastructure and monitoring tools like Data Dog,, Splunk, Elasticsearch, and Grafana.
Preferred Qualifications, Capabilities, and Skills:
• Familiarity with data visualization tools like ThoughtSpot.
• Experience in developing APIs and integrating machine learning models into software applications.
• Knowledge of modern development technologies and tools such as Agile, CI/CD, Git, Terraform, and Jenkins.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Top Skills
Ci/Cd
Data Dog
Databricks
Elasticsearch
Genai
Git
Grafana
Hadoop
Jenkins
Mlops
Nlp
Python
PyTorch
Spark
Splunk
TensorFlow
Terraform
Thoughtspot
Similar Jobs at JPMorganChase
Financial Services
The Data Scientist Lead will manage external data cloud publishing, modernize data delivery, collaborate with teams, and lead data management initiatives.
Top Skills:
SparkAWSAzureCloud ComputingGCPJavaPythonSnowflake
Financial Services
The role involves designing and delivering software solutions, creating high-quality production code, analyzing data for improvements, and engaging in team culture and technical communities.
Top Skills:
AWSEvent StreamingJavaNoSQLSpringSQL
Financial Services
Be part of an agile team enhancing and delivering technology products. Provide technical guidance, develop high-quality code, and contribute to technical operations.
Top Skills:
AWSJavaNoSQLSpringSQL
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
