Senior Data Scientist

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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 skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

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, and 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.

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 our Colleague 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.

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.