Job
Description
hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? We are seeking a highly motivated data scientist to join our team. The role offers the opportunity to contribute to cutting edge data science solutions in NLP, Anomaly detection and overall enterprise risk management. You will play a key role in developing proof of concepts, scalable tools, and models that protect company from (not limited to) financial, reputational, operations risks. Roles And Responsibilities Collaborate on NLP based solutions for identifying Key Risk Indicators (KRIs) across customer interactions Support the development of out of pattern detection systems, using time series models and statistical methods Contribute to the planned expansion of risk monitoring tools and models into new areas within enterprise Assist in building new age GenAI models Partner closely with global stakeholders and platforms team to deliver high impact analytics in a fast paced, regulated environment and ensure end to end completion of projects from ideation to production stages Apply innovative concepts to measure & manage risks consistently with regulatory and governance requirements Identify emerging risk themes along with ideas for solutions Ability to work on multiple projects and ad-hoc tasks simultaneously Minimum Qualifications Bachelor's/master's degree in computer science, Engineering, Statistics, Mathematics or a related field 1-3 years of hands-on experience in data science, analytics, or risk modeling Proficiency in SQL & Python Understanding of machine learning principles and model development lifecycle and steps Strong analytical, problem-solving and communication skills Preferred Qualifications Experience in working on NLP projects Experience in working on GenAI projects Exposure to risk domains Familiarity with model governance - model interpretability and hyperparameter tuning Experience working with large scale datasets and productionizing data science solutions Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less
