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Senior Managers, Data Science

American Express

Submit a resume through Jobify

NYC American Express

  • New York
  • NYC
NYC

Senior Managers, Data Science

American Express

Submit a resume through Jobify

NYC American Express

  • New York
  • NYC
NYC

Description

American Express Company seeks Senior Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity. Use machine learning techniques to improve forecasts and produce business insights. Partner across finance, risk, and business teams to derive strategic insights by leveraging visualization and reporting tools. Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals.

Position requires a Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or related field and 2 years of experience with applying statistical and econometric modeling techniques to solve business problems in the financial industry. Experience must include 1 year of experience with each of the following: quantitative, mathematical, and statistical concepts and data processing techniques, including survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory; researching and presenting complex statistical concepts to non-technical audiences; application of advanced predictive analytics using large volumes of customer and merchant data; database queries, including Hive, SQL, and Teradata; and AWS, EMR, Hadoop, machine learning techniques, PySpark, Python, and R. Telecommuting is available up to 2 days per week.

Job Location: New York, NY

Qualifications

Salary Range: $90,000.00 - $165,000.00 annually

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • 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

  • 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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

US Job Seekers - Click to view the “ Know Your Rights ” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider a number of job-related factors, including experience and location.

#LI-DNI

Job: Data Mgmt and Analytics

Primary Location: US-New York-New York

Schedule Full-time

Req ID: 25014175


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