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Account Professional
SNVA Ventures
posted 2mon ago
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Job Description
Function Description
The Global Commercial Analytics (GCA) team a part of Global Strategy & Operations, GCS is the analytical engine that enables the Global Commercial Card business. The team drives Profitable Growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities.
Purpose of the Role
This B35 role would be a part of GCA Global Prospecting Capabilities team, based out of Gurgaon, India, and will be responsible for AI/ML matching framework, tech platform expertise to build the commercial prospect database & optimize usage. You will be challenged with crafting and crafting world class prospect marketing analytics by leveraging machine learning and sophisticated methodologies.
Responsibilities
- Evaluate, maintain, and continuously improve existing AI/ML matching algorithms based on the evolving needs and data availability, while supporting development and delivery of a vision, strategy, and roadmap to achieve a next-generation matching capability.
- Explore the usage and implementation of data mining techniques, including regression analysis, clustering, decision trees, neural networks, and NLP solutions.
- Experience in deploying and handling data products and solutions across a variety of platforms and technologies such as Big Data, PySpark, Hive, Scala, Python.
- Bring a strong technical foundation; strong understanding coding practices, architecture, design, get under the hood of sophisticated coordinated architectures, coding systems, and interface design.
- Collaborate optimally with product owners, designers, and a broad set of internal technical partners (across multiple internal groups).
- Strong Programming skills are preferred. Experience with Big Data programming Languages (Hive, Spark), Python, Java is a must..
- Strong analytical/conceptual thinking/statistical acumen to tackle unstructured and sophisticated business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner
- Basic knowledge of statistical techniques like hypothesis testing, regression, knn, ttest, chi-square test
- Ability to work in a dynamic environment, with a strong attention to detail.
Graduate degree in a quantitative field (Finance, Engineering, Mathematics, Computer Science or Economics) is required.
Behavioral areas
- High attention to detail with an eye for Accuracy & Controls, Strong results-orientation, resourcefulness, and flexibility to overcome significant obstacles to goal achievement in a fast paced environment.
- Excellent communication skills (written and spoken) with ability to challenge the status quo and identify improvements.
- Quick learner & Team Player.
Employment Type: Full Time, Permanent
Functional Areas: Other
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