AE

Senior Manager-Data Science

American Express

8 months ago

3 - 5 years

Hybrid

Gurgaon, Haryana, Haryana, India

  • Be able to pull and analyze data to help develop actionable data-driven insights through a deep understanding of the commercial business.
  • Help build and develop Trigger frameworks that will help prioritize leads for Field Sales and Phone teams by better identifying the highest value and highest engaging customers who will drive the most Expansion Charge Volume and Incremental Billed Business.  
  • Drive spend engagement, diversification through near real time triggers, inflection points, treatment arbitration & High impact supplier recommendations
  • PYTHON

    SQL

    SAS

    PySpark

    Job description & requirements

    Responsibilities:


    1. Be able to pull and analyze data to help develop actionable data-driven insights through a deep understanding of the commercial business.
    2. Sharpen Retention and Engagement strategy with focus on offer exploitation, spectrum and scaling proactive, reactive retention/engagement with AI & Offer PZN
    3. Help build and develop Trigger frameworks that will help prioritize leads for Field Sales and Phone teams by better identifying the highest value and highest engaging customers who will drive the most Expansion Charge Volume and Incremental Billed Business.
    4. Drive spend engagement, diversification through near real time triggers, inflection points, treatment arbitration & High impact supplier recommendations
    5. Build and maintain strong relationships with key partners to understand business objectives/challenges and provide solutions.


    Minimum Qualifications:

    1. Excellent communication and interpersonal skills, and ability to build and retain strong working relationships.
    2. Strong technical expertise to work with big data; ability to write and update code to pull data for analyses.
    3. Strong analytical/conceptual thinking acumen to solve business problems and articulate key findings to stakeholders
    4. Expertise in PySpark/Python/SQL/SAS
    5. Bachelor's degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics, Economics) or business field


    Preferred Qualifications:

    1. Graduate with experience on machine learning, AI and analytical domain.
    2. 3+ years of experience in PySpark/Python/SQL/SAS
    3. Advance degree in a quantitative field (e.g. Statistics, Engineering, Physics, Mathematics, Economics) or business field preferred.
    4. Experience in Banking, Finance, or Credit Card industry is a plus


    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:

    1. Competitive base salaries
    2. Bonus incentives
    3. Support for financial-well-being and retirement
    4. Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
    5. Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
    6. Generous paid parental leave policies (depending on your location)
    7. Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
    8. Free and confidential counseling support through our Healthy Minds program
    9. Career development and training opportunities


    Experience :

    3 - 5 years

    Job Domain/Function :

    Data Science

    Job Type :

    Hybrid

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location :

    Gurgaon, Haryana, India, Gurgaon, Haryana, India

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