Account Professional

• 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.

Academic Background

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