Data Scientist Associate - SQL, Python, Tableau

Job Description
Join us to shape the future of technology efficiency and innovation through impactful data science solutions.
As a Data Scientist Associate within the Data and Analytics Team, you will leverage data-driven insights to improve technology efficiency and the developer experience. You will collaborate with cross-functional teams to deliver actionable analytics that drive business outcomes and support the firm's strategic objectives.
Job responsibilities

• Collaborate with product managers, engineers, and stakeholders to translate business objectives into data-driven solutions
• Analyze large and complex data sets to identify trends 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 validate model outcomes and ensure accuracy
• Create and maintain dashboards and reports to visualize key metrics and insights
• Stay current with industry trends, emerging technologies, and best practices in data science
• Contribute to a collaborative and innovative team environment

Required qualifications, capabilities, and skills

• Bachelor's degree in data science, statistics, computer science, or a related field
• Three years of experience in data science, analytics, or a related role.
• Proficiency in data analytics and visualization techniques such as SQL, Python, and Tableau, and experience with data warehousing technologies like Snowflake, Databricks, or Redshift
• Expertise in machine learning techniques, statistical modeling, and data mining
• Ability to tackle unstructured problems and learn quickly
• Excellent problem-solving skills and ability to derive actionable insights from complex data sets
• Strong communication and presentation skills, with the ability to engage both technical and non-technical audiences

Preferred qualifications, capabilities, and skills

• Experience with Agile methodologies and proficiency in Atlassian tools such as Jira and Jira Align
• Familiarity with analytics engineering tools like dbt and Airflow
• Understanding of DevEx metrics and software deployment pipelines
• Experience with AI technologies, including prompt engineering and proof-of-concept development
• Experience preferably within financial services or technology

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.