Managers, Data Science

New York, NY, US • Posted 3 days ago • Updated 1 hour ago
Full Time
On-site
USD $112,778.00 - 174,750.00 per year
Fitment

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Job Details

Skills

  • Data Science
  • Predictive Modelling
  • Visualization
  • Reporting
  • Emerging Technologies
  • Analytical Skill
  • Statistics
  • Mathematics
  • Computer Science
  • Information Systems
  • Modeling
  • Data Processing
  • Survival Analysis
  • Logistic Regression
  • Time Series
  • Decision Trees
  • Distribution
  • Research
  • Presentations
  • Predictive Analytics
  • Data Visualization
  • Tableau
  • Database
  • SQL
  • Teradata
  • HiveQL
  • Machine Learning (ML)
  • Python
  • R
  • SAS
  • Telecommuting
  • Coaching
  • Finance
  • Life Insurance
  • Training
  • Law
  • LOS
  • Recruiting
  • Banking
  • Web Browsers

Summary

Job Description

American Express Company seeks Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity.

Responsibilities

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.

Qualifications

Position requires a Master's degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a 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; data visualization tools, including Tableau; database queries, including SQL, Teradata, and HiveQL; and machine learning techniques, Python, R, and SAS. Telecommuting is available up to 2 days per week.

Job Location: New York, NY

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.

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The below 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.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10283139
  • Position Id: a53366bec95fc51595529473c88a9a16
  • Posted 3 days ago
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