Neha Singh 
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar 
Service Delivery Lead

Rohit Bairagi 
Lead Credit Specialist

Job Description : Function Description : With a focus on digitization, innovation, and analytics, the Enterprise Digital Analytics (EDA) team creates central, scalable data science platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business, and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of EDA is the integration of diverse skills across all of its remit. EDA has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. Purpose of the Role : - In particular, the team will lead and provide the support for development of world-class audience creation, targeting and personalization capabilities catering to all global markets. - This would involve research, development &amp; deployment of cutting edge Machine Learning/Data Science solutions which will be able to drive industry leading performance lifts. - This will in turn require the candidate to exhibit a high level of expertise in data wrangling using big data techniques, data understanding through statistical analysis, decision support logic and machine learning techniques. - Colleague will be responsible for data science pipelines and capabilities which will drive improvements in generating data driven actionable strategies to enable business growth initiatives Responsibilites : - Devise, design &amp; develop cutting edge, customized machine learning algorithms - Leverage the power of closed loop through Amex network to make offer targeting more intelligent and relevant - Innovate with a focus on developing newer and better approaches using big data &amp; machine learning solution - Stay current in their field and up to date with latest digital marketing, data science, machine learning, business statistics, algorithms and data mining practices - Understand and have a passion for trends in digital marketing, social, location and mobile based marketing efforts Qualifications : Past Experience : 0-1 years of relevant experience Preferred: Experience in online commerce analytics/marketing. Experience of analysis/modeling of digital data Academic Background : Post Graduate in Statistics/Mathematics/Economics/ Engineering/Management Functional Skills/Capabilities : Expertise in Coding, Algorithms, Unsupervised and supervised techniques: Active learning, transfer learning, neural models, Decision trees, reinforcement learning, Gaussian processes, Bayesian models, boosting and bagging learning methods, map Reduce techniques Technical Skills/Capabilities : Python, PySpark, C/C++/Java, SAS, SQL, Hive, R, Pig Advanced Statistical Techniques : Gini, Concordance, FScore Knowledge of Platforms : Hadoop, NFS 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 &amp; Provide Coaching Feedback, Make Collaboration Essential Do It The Right Way : Communicate Frequently, Candidly &amp; Clearly, Make Decisions Quickly &amp; Effectively, Live the Blue Box Values, Great Leadership Demands Courage Schedule (Full-Time/Part-Time) : Full-time Job type : Permanent Industry Type : Operations The Apply Button will redirect you to website. Please apply there as well. #NOLI

Bangalore

American Express - Analyst - Risk Management 

American Express - Analyst - Risk Management  ,Job Description for American Express - Analyst - Risk Management  in American Express in  Bangalore for (0-1) years of experience. Apply Now!

Job Description for American Express - Analyst - Risk Management  in American Express in  Bangalore for (0-1) years of experience. Apply Now!