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Apply Now for Analyst Data Science Training at American Express Company: Launch Your Career Today – CodeWindow.in
Data Analyst, Data Scientist
Gurgaon , India
Posted 4 months ago
American Express
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.
Job Title:
Analyst-Data Science
Last Date To Apply:
12 Days
(Apply Link at the end)
ASAP, will end as soon as a certain number is reached
Experience Level:
Candidate with 0 – 2 Years experience can apply
Job Location:
Gurgaon, Haryana, India
Requirements:
Academic Background:
- Bachelor of Science / Technology / Engineering, Master’s Degree In Economics, Statistics Or Related Fields From Top Tier Institute
Functional Skills/Capabilities:
- Hands-on model development or validation experience.
- Strong Analytical and Relationship and project management skills for driving validation initiatives.
- Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
- Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
- Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
- Effectively communicating complex Analytical results to Business Partners and Senior Management.
- Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
Technical Skills/Capabilities:
- Experience with at-least one of the data manipulation tools such as Python, SQL & R is a must have.
- Data Science/ Machine Learning/ Artificial Intelligence
- Expertise in Coding, Supervised and Unsupervised Techniques – active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms
Behavioral Skills/Capabilities:
Enterprise Leadership Behaviors
- Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
- Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
- Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
Job Description:
The specific responsibilities include:
- Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.
- Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
- Conduct research to explore opportunities to elevate model excellence and drive business impact
- Communicating results to partners, senior leadership and various model committees
Critical Factors to Success:
Business Outcomes:
- Effectively challenge the conceptual soundness , theory and approach, purpose/usages of predictive models
- Maximize business returns by institutionalizing efficient and accurate models.
- Innovate modeling techniques and variable creation
- Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning
Leadership Outcomes:
- Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
- Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
- Demonstrate learning agility, make decisions quickly and with the highest level of integrity
- Lead with a digital mindset and deliver the world’s best customer experiences every day