JPMorgan Data Science Senior Associate 

United States, Texas, Plano 

770090880

As a Data Science Senior Associate within the Product & Experience team at Chase Bank, you will be a key player in boosting our operational efficiency and productivity. Your role will involve providing valuable analysis and actionable insights to enhance our planning and prioritization, minimize bottlenecks, and eradicate waste. You will be tasked with sourcing, developing, and monitoring metrics related to CI/CD enhancements and GenAI solutions. Additionally, you will be in charge of creating dashboards to monitor efficiency metrics across the company and determining the impact of these initiatives. Your crucial role will also include building analytics engineering pipelines and developing data science models to measure the impact. You will collaborate closely with cross-functional teams, such as Technology and Finance, to analyze intricate data sets, develop predictive models, and provide actionable insights to improve our product offerings and technology efficiency.

Job Responsibilities:

• Collaborate with product managers, engineers, and other stakeholders to understand business objectives and translate them into data-driven solutions.

• Analyze large and complex data sets to identify trends, patterns, and opportunities for improvement in the product development life cycle.

• Develop and implement predictive models and machine learning algorithms to forecast product performance and operational processes.

• Design and conduct experiments to test hypotheses and validate model outcomes, ensuring accuracy and reliability.

• Create and maintain dashboards and reports to visualize key metrics and insights, facilitating informed decision-making across teams.

• Stay up to date with industry trends, emerging technologies, and best practices in data science and analytics.

• Mentor data scientists and contribute to the development of a collaborative and innovative team environment.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in data science, Statistics, Computer Science, or a related field.

• Ability to tackle unstructured problems; strong learning aptitude required.

• Experience with data analytics and/or visualization techniques (e.g., SQL, Python, Tableau), as well as data warehousing technologies (e.g., Snowflake, Databricks, Redshift).

• Exceptional communication (written and verbal) and presentation skills – an ability to communicate effectively with diverse audiences across business and technology partners, including senior leadership.

• Proven experience (5+ years) in data science, analytics, or a related role, preferably within the financial services or technology industry.

• Expertise in machine learning techniques, statistical modeling, and data mining.

• Excellent problem-solving skills and the ability to work with complex data sets to derive actionable insights.

• Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences.

• Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications, Capabilities, and Skills:

• Experience with Agile methodologies and proficiency in Atlassian tools like Jira and Jira Align to manage workflows and enhance team collaboration.

• Familiarity with analytics engineering tools like dbt and Airflow.

• Familiarity with DevEx metrics and an understanding of software deployment pipelines.

• Familiarity with AI technologies, including prompt engineering and proof-of-concept (POC) development, to leverage advanced analytics and machine learning capabilities.

• Experience with ThoughtSpot or similar data visualization tools, enhancing the ability to create intuitive and impactful data insights.

• Master’s degree in data science, Statistics, Computer Science, or a related field.