Senior Staff Engineer

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.  We are embarking on a new practice area focused on strategic analytics, leveraging advance data science techniques to optimize resource allocation and drive business value.

We are seeking a visionary leader to play a pivotal role in shaping the future of our organization by leading the development and implementation of cutting-edge data science solutions.   This role is focused on collaborating closely with cross-functional teams to analyze complex datasets, extract actionable insights and drive strategic decision-making to enhance our infrastructure product performance and support business growth. 

Let’s build on what you know.

If you are a highly motivated and experienced data scientist looking to make significant impact in a dynamic environment, you’ll find a fit within our Global Infrastructure Product Services organization.  This role presents an exceptional opportunity to to impact our organization’s financial and technological direction. 

Here’s just some of what you’ll do:

• Lead the development and maintenance of foundational namespaces and advanced data models to define application ecosystems
• Spearhead the design and implementation of robust data collection processes to measure application consumption of infrastructure resources, ensuring accuracy and efficiency
• Drive the analysis of data to attribute infrastructure resource consumption to specific business drivers, providing valuable insights to inform strategic decision-making
• Collaborate closely with cross-functional teams, providing guidance and expertise on data analysis methodologies and best practices
• Apply advanced statistical and machine learning techniques to extract actionable insights from complex datasets related to infrastructure resource consumption
• Lead the development of predictive models to forecast infrastructure resource needs based on historical data and projected business growth, contributing to long-term planning and optimization efforts
• Design and develop comprehensive dashboards and reports to visualize key findings, effectively communicating complex information to stakeholders at all levels
• Evaluate the performance of data models and algorithms on an ongoing basis, identifying areas for improvement and driving iterative enhancements to ensure optimal accuracy and efficiency
• Stay updated on industry trends and advancements in data science and infrastructure technology, proactively incorporating innovative methodologies and tools into the organization’s practices
• Provide mentorship and guidance to junior team members, fostering their professional development and contributing to the overall success of the data science practice area within the Global Infrastructure organization

Qualifications

Are you up for the challenge?  Here’s what you should have:

• Significant experience working in a data science role, with a proven track record of success in applying advance analytical techniques to solve complex business problems
• Expert proficiency in programming languages such as Python, R, or Scala, as well as in-depth knowledge of data manipulation and analysis techniques
• Extensive experience with data visualization tools such as Tableau, Power BI or matplotlib, and proficiency in SQL and relational databases for data querying and manipulation
• Deep understanding of statistical techniques, machine learning algorithms and data modeling concepts, with the ability to translate business requirements into technical solutions
• Exceptional problem-solving skills and strategic thinking ability, with a demonstrated aptitude for driving innovation and delivering impactful results in a dynamic environment
• Excellent communication and interpersonal skills with the ability to effectively collaborate with stakeholders across different functions and levels of the organization
• Strong leadership capabilities, with experience leading projects or teams and a passion for mentoring and developing junior talent
• Detail-oriented with a commitment y producing high-quality work and a continuous learning mindset with a desire to stay at the forefront of emerging trends and technologies in the field of data science and infrastructure
• Experience with cloud platforms (e.g.: AWS, Azure, GCP) and Big Data technologies (e.g.: Hadoop, Spark) is a plus
• Bachelor’s or advanced degree in Computer Science, Data Science, Statistics, Mathematics or a related field a plus

Salary Range: $170,000.00 to $255,000.00 annually + bonus + equity (if applicable) + 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.

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