Job Summary:
Looking for experts that can leveraging agile processes on a wide range of business and product-focused analytics projects!
As a Data Scientist Senior Associate, within the Machine Learning and Intelligent Operations team, you will support advanced analytics projects across various Operations functions, channels, and products to support Machine Learning and AI initiatives across Consumer Banking and lead initiatives focused on improving Agent AI assistant.
Job Responsibilities:
- Conduct in-depth data analysis to extract actionable insights, identify trends, and support data-driven decision-making across various servicing and operations functions, while focusing on improving customer and agent experience while reducing operating expenses for the Consumer Banking Operations space.
- Apply advanced statistical techniques and gained business knowledge to improve efficiency, reduce costs, and enhance the performance of operations.
- Work closely with cross-functional teams across engineering, design, and product to ensure the successful rollout of ML/AI solutions into business processes and systems and utilize enterprise data to develop automated data solutions using a mix of customer, account, digital, telephony, financial, and operational data.
- Oversee data collection, cleaning, and preprocessing to ensure high-quality input for machine learning models and analytics projects.
- Develop and deliver clear, concise reports and visualizations to communicate findings and recommendations to stakeholders, including senior management.
- Stay abreast of the latest developments in machine learning, artificial intelligence, and data analytics, and apply innovative techniques to enhance the bank's analytics capabilities.
- Leverage the agile process to deliver a wide range of business and product-focused analytics, including building and updating business cases, exploratory analysis to identify product enhancement opportunities, generating feature performance metrics and dashboards, and crafting data stories and presentations of key findings to stakeholders.
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Required Qualifications, capabilities, and skills:
- 3+ years of related experience with a Bachelor's degree in a quantitative or related field.
- Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology.
- Hands-on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, Alteryx, Snowflake, SAS).
- Familiarity with AWS, data mining, statistical modeling, machine learning, and other advanced analytics methods.
- Hands-on experience writing code and automating processes to source, transform, and analyze data from multiple sources, including structured and unstructured data.
Preferred Qualifications, capabilities, and skills:
- Graduate degree in a related field is preferred.
ABOUT US
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of 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.
Equal Opportunity Employer/Disability/Veterans
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.