Senior Associate Data Scientist - Transformation Analytics

Location: Columbus, OH, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services landscape through innovative data-driven solutions. As a Senior Associate Data Scientist in Transformation Analytics within Chase’s Marketing & Communications Team, you will play a pivotal role in leveraging predictive science to enhance customer experiences and drive business growth. Based in Columbus, OH, this position offers the opportunity to work on cutting-edge projects that integrate advanced analytics with marketing strategies, helping to personalize offerings for millions of Chase customers while navigating the complexities of the banking industry. In this role, you will collaborate closely with marketing professionals, data engineers, and business leaders to develop sophisticated models that predict customer behaviors and optimize transformation initiatives. Your expertise in predictive analytics will be crucial in analyzing vast datasets from transaction histories, digital interactions, and market trends to uncover actionable insights. You will design and implement machine learning solutions to support A/B testing, campaign performance measurement, and strategic decision-making, all while ensuring compliance with stringent financial regulations and JP Morgan Chase's commitment to ethical data use. We seek a proactive problem-solver passionate about the intersection of data science and financial services. This position not only demands technical proficiency but also the ability to communicate complex findings to non-technical stakeholders, influencing high-impact transformations. Join a dynamic team at one of the world's leading financial institutions, where your contributions will directly shape Chase's future in a competitive, evolving market.

Key Responsibilities

• Develop and deploy predictive models to support Chase's marketing transformation initiatives, focusing on customer segmentation and personalization
• Analyze large-scale datasets from customer interactions to identify trends and opportunities for improving marketing strategies
• Collaborate with Marketing & Communications teams to design data-driven experiments and measure campaign effectiveness
• Build and maintain machine learning pipelines for real-time analytics in support of business transformation goals
• Provide insights on customer behavior using advanced statistical techniques to optimize resource allocation
• Partner with cross-functional stakeholders to integrate analytics into broader transformation roadmaps
• Ensure data quality and model accuracy while adhering to JP Morgan Chase's data governance standards
• Communicate findings through visualizations and reports to senior leadership, influencing strategic decisions
• Stay abreast of emerging trends in predictive science and apply them to enhance Chase's competitive edge in financial services
• Mentor junior data scientists and contribute to the team's knowledge-sharing practices

Required Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field; Master's degree preferred
• 3+ years of experience in data science, predictive modeling, or analytics roles within the financial services industry
• Proficiency in Python or R for data analysis and machine learning model development
• Experience with big data technologies such as Hadoop, Spark, or SQL databases
• Strong understanding of statistical methods, including regression, clustering, and time-series analysis
• Demonstrated ability to work with cross-functional teams in a fast-paced environment
• Excellent communication skills to translate complex data insights into actionable business strategies

Preferred Qualifications

• Advanced degree (Master's or PhD) in Data Science, Machine Learning, or a related field
• Experience in marketing analytics or customer transformation projects in banking or financial services
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for scalable data processing
• Knowledge of regulatory compliance in financial data handling (e.g., GDPR, CCPA)
• Prior experience with A/B testing and experimentation in digital marketing contexts

Required Skills

• Python programming for data manipulation and modeling
• Machine learning frameworks like scikit-learn, TensorFlow, or PyTorch
• SQL for querying large financial datasets
• Statistical analysis and hypothesis testing
• Data visualization tools such as Tableau or Power BI
• Big data processing with Apache Spark or Hadoop
• Predictive modeling techniques including regression and classification
• A/B testing and experimental design
• Cross-functional collaboration and stakeholder management
• Problem-solving in ambiguous business environments
• Knowledge of financial metrics and customer analytics
• Version control with Git
• Cloud computing experience (AWS preferred)
• Strong written and verbal communication
• Attention to detail in data governance and compliance

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at Columbus locations
• Flexible work arrangements, including hybrid options for work-life balance

JP Morgan Chase is an equal opportunity employer.