Data Scientist [Multiple Positions Available]

Location: Plano, TX, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are a leading global financial services firm committed to innovation and excellence in banking. As a Data Scientist in our Predictive Science team based in Plano, TX, you will play a pivotal role in harnessing customer, marketing, and web behavioral data to drive strategic decisions. This position involves multiple openings, offering opportunities to contribute to high-impact projects that enhance our digital banking experiences, personalize customer interactions, and mitigate risks in a dynamic financial landscape. You will work within a collaborative environment, leveraging advanced analytics to support JP Morgan's mission of powering the progress of individuals and communities worldwide. Your core responsibilities will include collecting and analyzing vast datasets to uncover actionable insights, developing sophisticated predictive models to anticipate customer needs, and integrating these findings into our marketing and product strategies. At JP Morgan Chase, you will apply machine learning techniques to optimize fraud detection, improve credit risk assessments, and tailor financial products, all while adhering to stringent regulatory standards. Expect to collaborate with cross-functional teams, including data engineers, marketers, and compliance experts, to translate complex data into business value, fostering innovation in areas like personalized banking and sustainable finance. We seek passionate professionals who thrive in a fast-paced setting and are eager to advance their careers at one of the world's most respected financial institutions. This role offers exposure to cutting-edge technologies and the chance to influence JP Morgan Chase's data-driven future. Join us in Plano, TX, to make a meaningful impact on the financial services industry.

Key Responsibilities

• Collect, clean, and analyze large volumes of customer, marketing, and web behavioral data to identify trends and patterns
• Develop and implement predictive models using machine learning techniques to forecast customer behavior and market trends
• Collaborate with marketing and product teams at JP Morgan Chase to optimize customer engagement strategies based on data insights
• Perform statistical analysis and A/B testing to evaluate the effectiveness of financial products and services
• Build dashboards and visualizations using tools like Tableau or Power BI to communicate findings to stakeholders
• Ensure data integrity and compliance with JP Morgan's data governance policies and financial regulations
• Conduct exploratory data analysis to support risk assessment and fraud detection initiatives
• Integrate AI-driven solutions into JP Morgan's digital banking platforms to enhance user experience
• Mentor junior data scientists and contribute to the team's knowledge-sharing practices
• Stay updated on emerging technologies and methodologies in predictive science relevant to the financial sector

Required Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field; advanced degree preferred
• 3+ years of experience in data science, machine learning, or predictive analytics within the financial services industry
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
• Experience with large-scale data collection and analysis, including customer, marketing, and web behavioral datasets
• Strong understanding of statistical modeling, predictive algorithms, and data visualization techniques
• Ability to work with cross-functional teams in a fast-paced banking environment
• Familiarity with regulatory requirements in financial data handling, such as GDPR and CCPA

Preferred Qualifications

• Master's or PhD in Data Science, Machine Learning, or a related field
• Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure)
• Prior work at a major financial institution, with exposure to risk modeling or customer analytics
• Certifications in machine learning (e.g., Google Professional Machine Learning Engineer) or data science
• Knowledge of fraud detection or personalized marketing strategies in banking

Required Skills

• Python or R programming for data analysis
• SQL for database querying and management
• Machine learning frameworks like TensorFlow, Scikit-learn, or PyTorch
• Statistical modeling and hypothesis testing
• Data visualization tools (Tableau, Power BI, Matplotlib)
• Big data processing (Hadoop, Spark)
• Cloud computing platforms (AWS, Google Cloud)
• Predictive analytics and algorithm development
• Problem-solving and critical thinking
• Communication and presentation skills for stakeholder reporting
• Team collaboration in agile environments
• Knowledge of financial data privacy regulations
• Time management in high-pressure settings
• Attention to detail in data validation
• Adaptability to evolving technologies in fintech

Benefits

• Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's compensation structure
• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, such as tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at JP Morgan Chase facilities
• Flexible work arrangements, including hybrid options in Plano, TX

JP Morgan Chase is an equal opportunity employer.