Senior Data Scientist

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, you'll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives.  Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems.  Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source.  And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development.  Find your place in technology on #TeamAmex.  
Let's share success.
Global Infrastructure Product Services aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency. 
As the Data Science team in Global Infrastructure Product Services embarks on building and deploying advanced data science and machine learning (ML) models, we are looking for a senior data scientist to build, deploy and monitor models in production.  This is an individual contributor role with responsibilities ranging from hands-on coding, debugging, documentation to stakeholder management and presentations.
A successful data scientist knows that delivering on that promise takes foresight, planning and agility.  We are seeking data scientists who are not only technically adept, but also understand the importance of harnessing the power of data to streamline financial operations, enhance decision-making and improve business outcomes. 
This team is focused on developing and maintaining dynamic technology infrastructure cost allocation and production models. The financial forecasting models will help ensure that our technology spending is transparent, efficient, and properly aligned with our strategic objectives. The role requires a blend of technical prowess in data engineering, data science, MLOps, and an understanding of enterprise infrastructure components & their economics.
Let's build on what you know.
If you are a pioneer in developing and continuously evolving data science models in production that drive and monitor infrastructure and cost consumption analysis, you'll find a fit in our Data Science team in Global Infrastructure Product Services. To succeed in this newly forming team, you'll need to be comfortable navigating ambiguity to stand up solutions 0à1 while discovering and leveraging enterprise platforms and best practices. 
Here's just some of what you'll do:
Design and build scalable solutions using AI and Machine Learning (Generative AI, Natural Language Processing, Reinforcement Learning, and Time Series predictions) in financial forecasting and optimizing infrastructure resource utilization to help further mature our FinOps and AIOps framework
Own the model building and refining from identifying business problems, collecting training dataset, analyzing data, modeling, validating to delivering production grade solutions at scale.
Drive high-level and detailed technical design conversations and reviews
Be responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
Work closely with stakeholders across Technology, Finance and business unit portfolio leaders to define scope, requirements and incorporate cost drivers, allocation methods, and infrastructure nuances
Ensure best practices are aligned with Enterprise Architecture and ML COEs
Develop SQL queries, scripts and routines to automate data processing and enhance the model's accuracy and efficiency
Generate insightful data visualization and reports to aid in decision-making
Lead training sessions and create comprehensive documentation to empower end users to leverage the cost model effectively
Provide technical mentorship to team members at junior levels
Function as an active member of an agile team

Are you up for the challenge?  Here's what you should have:
Master's degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or related STEM fields.
3+ years full lifecycle product development and engineering leadership in highly available, highly scalable, and high throughput systems
Demonstrated experience in building and owning data science solutions and pipelines within the MLOps ecosystem in at least 2 of the 3 major cloud platforms (Vertex AI, Azure Machine Learning, AWS Sagemaker).
Experience in automating, troubleshooting and upgrading data & machine learning pipelines that allow model retraining and continuous monitoring
Hands-on expertise with handling distributed (multi-tiered) systems and automated testing – unit and performance testing
Demonstrated experience in building and deploying a diverse set of Machine Learning (GLM, GBM, Neural Networks) and NLP solutions at scale
Proficiency and Hands-on Experience with Git, CI/CD tools, Elasticsearch, and a solution in each category: Orchestration, Container, Model Serving, Observability, and Feature Store
Strong proficiency in programming with Python, Machine Learning libraries and APIs (TensorFlow, Keras, PyTorch, ScikitLearn, H20.ai, XGBoost)
Experience in deploying out-of-the box LLMs and Generative AI solutions.
Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alerts
Thorough understanding of enterprise infrastructure technologies (Compute, Storage, Network, Mainframe) to inform model development
Strong project management skills and effective stakeholder management skills, coupled with a continuous improvement mindset
Excellent presentation and communication skills, capable of explaining complex technical choices in simple terms to a diverse audience
Experience in Financial Services industry is preferred

Salary Range: $90,000.00 to $165,000.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
Competitive base salaries 
Bonus incentives 
6% Company Match on retirement savings plan 
Free financial coaching and financial well-being support 
Comprehensive medical, dental, vision, life insurance, and disability benefits 
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy 
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

For a full list of Team Amex benefits, visit ourColleague Benefits Site.
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.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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