Manager-Data Science

DescriptionYou 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.The ‘Prospecting Capabilities Data Science’ team is part of the Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing, American Express. AIM team is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) business.In this role, the incumbent will be responsible for AI/ML matching framework, tech platform expertise to build the commercial prospect database & optimize usage. You will be challenged with designing and creating world class prospect marketing analytics by leveraging machine learning and advanced methodologies.Key Responsibilities include:

Evaluate, maintain and continuously enhance existing AI/ML matching algorithms based on the evolving needs and data availability, while supporting development and delivery of a vision, strategy and roadmap to achieve a next-generation matching capability.

Explore the usage and implementation of data mining techniques, including regression analysis, clustering, decision trees, neural networks, and NLP solutions

Strong programming skills are required. Experience with BIG DATA PROGRAMMING LANGUAGES (HIVE, PIG, SPARK), PYTHON and SQL.

Bring a strong technical foundation; able to engage the team on coding practices, architecture, design, get under the hood of complex integrated architectures, coding systems, and interface design

Collaborate successfully with product owners, designers, and a broad set of internal technical partners (across multiple internal groups)

Minimum Qualifications:

Bachelor’s degree in a quantitative field (e.g. Science, Engineering, Mathematics, Computer Science or Economics).

5 years of data science experience (including years spent in academia achieving advanced degrees)

At lease 3 years of experience with Python programming and SQL.

Strong programming skills and experience with building models & analytical data product

Demonstrated ability to apply cutting edge statistical techniques to business problems and to leverage external thinking (from academia and/or other industries)

Strong knowledge of machine learning techniques, including XGBoost, Decision Trees, etc.

Good understanding of cluster and parallel architecture or familiarity with cloud-based architecture

Demonstrated ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors.

Experience with commercial data and ability to create insights and drive results

Preferred Qualifications:

Advanced degree in a quantitative field (e.g. Science, Engineering, Mathematics, Computer Science or Economics).

Strong knowledge and experience with Natural Language Processing.

2 years of experience with Java.

Experience in data ontology.

Knowledge of commercial data experience.

QualificationsSalary Range: $90,000.00 to $165,000.00 annually bonus benefitsThe 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.Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.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.US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement.If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters.Job: Data Mgmt and AnalyticsPrimary Location: US-New York-New YorkSchedule Full-timeReq ID: 24015610