Product Operations Analytics - Senior Associate Data Scientist

The Product, Experience & Technology Data and Analytics Senior Associate Data Scientist will play a key role in enhancing productivity and efficiency at Chase Bank.

By providing insightful analysis and actionable insights, you will help improve prioritization and planning, reduce bottlenecks, and eliminate waste.

Our focus is on raising operational standards and promoting collaboration across teams, using data-driven methods to guide investment decisions and align initiatives with business goals for maximum value.

As a Senior Associate Data Scientist within the Product, Experience & Technology Data and Analytics team, you will develop and execute actionable data science and analytical solutions in a consulting-style environment to drive efficiency across the product development life cycle at Chase.

You will play a crucial role in driving data-driven decision-making and optimizing our product development processes.

You will work closely with cross-functional teams to analyze complex data sets, develop predictive models, and provide actionable insights that enhance our product offerings and operational 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 require


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


* Experience with data analytics and/or visualization techniques (e.g.

SQL, Python, Thoughtspot), as well as big data technologies (e.g.

Hadoop, Cassandra, AWS)


* Proven experience (3+ years) in data science, analytics, or a related role, 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...