Manager - Data Science

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.

Our industry is rapidly evolving, and we need courageous, quick thinkers who can shape the strategic decisions that lead our business forward. Whether it's negotiating with some of our largest global partners or creating next year's financial plan, you can influence both our day-to-day P&L and the future direction of the company. As part of the team, you can have the opportunity to learn and use the latest data tools and technologies and explore a range of roles to grow your career. Find your place in finance on #TeamAmex.

Position: CI Sr. Data Scientist B35
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we're supporting our customers' financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what's possible --- and we're proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 70,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.
The Colleague Services (CS) organization within the Colleague Experience Group (also known as Human Resources) at American Express plays a critical role in providing the best-in-class services, capabilities, data, and insights that enable a great colleague experience. The organization builds and evolves essential products and services to enable the Colleague Experience Group (CEG) and the business. The CS organization manages the ecosystem of CEG products, processes, platforms, applications, third party partners, colleague insights and reporting, and colleague-related risk, compliance, and governance.
The Colleague Insights Data Science team within Colleague Services is seeking a Senior Data Scientist to lead priority analytics for employee-focused use cases. As a key leader on the team, you will apply your expertise in machine learning, AI, and advanced quantitative analysis to explore large datasets, derive actionable insights, and influence strategic decisions in critical areas such as talent mobility, employee retention, recruitment, and Diversity, Equity, & Inclusion initiatives.
We are looking for a candidate with strong statistical and quantitative skills, a deep understanding of business dynamics, and a passion for using data to tell compelling stories. Your ability to communicate insights clearly to business audiences will be critical, as will your drive to solve complex problems and innovate.
Beyond domain expertise, this role requires a commitment to learning, exceptional communication skills, and the ability to translate data-driven insights into meaningful actions. By fostering engagement and inclusivity, you will contribute to the continuous growth and success of American Express
Key Responsibilities:

• Define the opportunity for analytics; Identify or distill business needs into analytics workstream

• Summarize findings and effectively communicate in a compelling way to senior leaders to drive business action

• Make recommendations to partners for colleague metrics/data to help track CEG program effectiveness and development

• Collaborate with CEG partners, Technology, and peer analytics team members to get things done, influence priorities and develop knowledge

• Manage customer relationships and work as part of a cross-functional team to assess needs and translate them into strategic plans and data-driven solutions.

• Gather, sanitize, and preprocess extensive datasets from various sources, and perform exploratory data analysis.

• Construct and apply statistical models for data analysis, correlation identification, predictive modeling, and accurate forecasting.

• Employ machine learning algorithms to construct models for various data-driven applications.

• Identify pertinent features and process raw data to enhance model performance and predictive accuracy.

• Apply data visualization tools and techniques to clearly communicate complex findings, employing effective storytelling methods.

• Cooperate with cross-functional teams to comprehend business challenges and generate data-driven solutions.

• Adhere to data governance guidelines, uphold data privacy and security standards, and align with applicable regulations.

• Stay current with data science advancements, attend industry conferences, participate in training, and continually hone domain knowledge .

• Lead, engage and develop a high-performing analyst/s and guide them to deliver superior business results.

Required Qualifications

• Advanced degree (Master's or PhD) in Statistics, Mathematics, Engineering, or a related analytical field.

• 4--5 years of dynamic experience in quantitative analysis and statistical modeling to support business decisions.

• Proficiency in statistical concepts such as distributions, regression, confidence intervals, correlation, significance, P-value, and T-tests.

• Experience handling ambiguous and complex analytical tasks, including working with unstructured data.

• Strong programming skills in Python, with proficiency in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).

• Solid understanding of database management with expertise in SQL or NoSQL databases.

• Proficiency in Python and R for data analysis and modeling.

• Experience with data visualization tools such as Tableau or Power BI.

• Strong SQL skills, with the ability to independently write efficient and accurate queries.

• Ability to develop HR data expertise and produce modeling-ready datasets.

• Quick learner with the ability to work under tight deadlines, demonstrating initiative and ownership.

• Adaptability to shifting priorities and deadlines.

• Excellent problem-solving, communication, and project management skills.

• Capacity to handle multiple priorities and effectively manage work allocation.

• Strong adaptability and willingness to learn and apply new technologies and methodologies.

Preferred Skills

• Proven experience using analytics to solve business problems in complex organizations.

• Background in People Analytics.

• 3+ years of programming experience in Python, R, SQL, or Hive.

• proven experience with Tableau or Power BI for data visualization.

• Strong communication skills for presenting results to both tech-savvy and general audiences.

• Exceptional consultative skills with the ability to build strong cross-functional relationships.

Additional Details:

• Work Location Options: Hybrid /NYC

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.

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