Join our innovative team and drive the future of AI/ML! We're seeking passionate individuals to transform data into actionable insights, impacting industries worldwide. Be part of a dynamic environment where your expertise will shape cutting-edge solutions and make a real difference. As an Applied AI/ML Sr. Associate in our Data Science team, you will harness the power of machine learning to solve complex problems and enhance decision-making processes. You'll collaborate with a diverse group of experts, fostering a culture of innovation and continuous learning. Together, we'll push the boundaries of technology and create meaningful change. **Job responsibilities** - Develops and implements advanced machine learning models - Analyzes large datasets to extract valuable insights - Collaborates with cross-functional teams to integrate AI solutions - Optimizes algorithms for performance and scalability - Stays updated with the latest AI/ML trends and technologies - Communicates findings and recommendations to stakeholders - Mentors junior team members in AI/ML techniques - Designs experiments to validate model effectiveness - Ensures data quality and integrity in all analyses - Contributes to the development of AI-driven products - Documents processes and methodologies for future reference **Required qualifications, capabilities, and skills** - Bachelor's degree in Computer Science, Data Science, or related field - 3+ years of experience in machine learning implementation - Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch) - Strong understanding of data science principles and techniques - Experience with data preprocessing and feature engineering - Ability to work collaboratively in a team environment - Excellent problem-solving and analytical skills - Strong communication skills for technical and non-technical audiences **Preferred qualifications, capabilities, and skills** - Master's degree in a relevant field - Experience with cloud platforms (e.g., AWS, Azure) - Familiarity with big data technologies (e.g., Hadoop, Spark) - Knowledge of deep learning architectures - Experience in deploying machine learning models in production - Publications or contributions to AI/ML research - Certification in AI/ML from a recognized institution 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, paid in the form of cash and/or forfeitable equity, 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