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8.0 - 12.0 years
0 Lacs
navi mumbai, maharashtra
On-site
As the Lead Data Scientist at Finicity, a Mastercard company, you will have the opportunity to lead and mentor a team of data scientists in developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring and improving the performance of these models. You will be expected to propose creative solutions to challenges in the financial industry, present technical findings to internal and external stakeholders, and leverage best practices in machine learning and data engineering to develop scalable solutions. To excel in this role, you should have a minimum of 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, as well as experience in transaction classification, risk evaluation, and credit risk modeling would be advantageous. Additionally, you should possess a strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques. Proficiency in SQL and database management is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, and Event Streams. Furthermore, you should have familiarity with relevant tools and frameworks like Tensorflow, Python, Sklearn, and Pandas. Your ability to collaborate effectively and come up with innovative solutions will be crucial in this role. Ideally, you should have a background in Finance or FinTech and hold a Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics. In addition to your technical skills, you should demonstrate a commitment to corporate security responsibilities. This includes abiding by Mastercard's security policies, ensuring the confidentiality and integrity of accessed information, reporting any security breaches, and completing mandatory security trainings as required. Your role as a Lead Data Scientist at Finicity will involve driving innovation and problem-solving in the data science and analytics team to contribute to the financial health of consumers and businesses.,
Posted 1 day ago
8.0 - 12.0 years
0 Lacs
navi mumbai, maharashtra
On-site
As the Lead Data Scientist at Mastercard, you will have the opportunity to lead, mentor, and grow the data science team focused on developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring, validating, implementing, monitoring, and improving the performance of both internal and external facing machine learning models. You will be expected to propose creative solutions to new challenges in the company, the financial industry, and data science, while effectively presenting technical problems and findings to business leaders and clients. Your responsibilities will also include leveraging best practices in machine learning and data engineering to develop scalable solutions, identifying areas where resources fall short of needs, and providing thoughtful and sustainable solutions to benefit the team. You should be a strong, confident, and excellent writer and speaker, capable of communicating your vision and roadmap effectively to a wide variety of stakeholders. To excel in this role, you should have at least 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation, and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques/methods is essential. Proficiency in SQL/Database operations is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, Event Streams, and relevant tools like Tensorflow, Python, Sklearn, and Pandas. Moreover, you should have a strong desire to collaborate and come up with creative solutions, with additional experience in Finance and FinTech being beneficial. A Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics is preferred for this role. As part of Mastercard's corporate security responsibility, you will be expected to abide by the company's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected information security violations or breaches, and complete all mandatory security trainings in accordance with Mastercard's guidelines. If you are passionate about leveraging data to provide high-quality customer solutions, possess strong technical leadership skills, and have an entrepreneurial mindset, then this Lead Data Scientist position at Mastercard could be the perfect opportunity for you to make a significant impact across various sectors of the economy.,
Posted 3 days ago
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