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Lead Data Scientist

Lead Data Scientist

Mastercard

8 - 12 years

0 Lacs

navi mumbai all india

Posted:20 hours ago| Platform: Shine logo

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Skills Required

machine learning data science nlp statistical modeling visualization sql database kubernetes docker python containers rest apis event streams tensorflow sklearn pandas

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As a Lead Data Scientist at Mastercard's Finicity, you will be responsible for leading, mentoring, and growing the data science team focused on developing production-grade services and capabilities. You will also plan and direct data science and machine learning projects, design and implement machine learning models for various financial applications, measure and improve model performance, propose creative solutions to challenges, and effectively communicate technical findings to internal and external stakeholders. Your role will involve leveraging best practices in machine learning and data engineering to develop scalable solutions and identifying areas for improvement within the team. Key Responsibilities: - Lead, mentor, and grow the data science team and tech stack - Plan and direct data science/machine learning projects - Design and implement machine learning models for financial applications - Measure, validate, implement, monitor, and improve model performance - Propose creative solutions to challenges - Present technical problems and findings to business leaders - Utilize best practices in machine learning and data engineering - Identify areas for improvement and provide sustainable solutions - Communicate vision and roadmap effectively to stakeholders Qualifications Required: - 8+ years of experience in data science/machine learning model development and deployments - Exposure to financial transactional structured and unstructured data - Strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques - Experience with SQL/Database, Kubernetes, Containers, Docker, REST APIs, Event Streams - Familiarity with technologies like Tensorflow, Python, Sklearn, Pandas, etc. - Desire to collaborate and come up with creative solutions - Additional Finance and FinTech experience preferred - Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics (M.S preferred) Note: The JD does not include any additional details about the company. Role Overview: As a Lead Data Scientist at Mastercard's Finicity, you will be responsible for leading, mentoring, and growing the data science team focused on developing production-grade services and capabilities. You will also plan and direct data science and machine learning projects, design and implement machine learning models for various financial applications, measure and improve model performance, propose creative solutions to challenges, and effectively communicate technical findings to internal and external stakeholders. Your role will involve leveraging best practices in machine learning and data engineering to develop scalable solutions and identifying areas for improvement within the team. Key Responsibilities: - Lead, mentor, and grow the data science team and tech stack - Plan and direct data science/machine learning projects - Design and implement machine learning models for financial applications - Measure, validate, implement, monitor, and improve model performance - Propose creative solutions to challenges - Present technical problems and findings to business leaders - Utilize best practices in machine learning and data engineering - Identify areas for improvement and provide sustainable solutions - Communicate vision and roadmap effectively to stakeholders Qualifications Required: - 8+ years of experience in data science/machine learning model development and deployments - Exposure to financial transactional structured and unstructured data - Strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques - Experience with SQL/Database, Kubernetes, Containers, Docker, REST APIs, Event Streams - Familiarity with technologies like Tensorflow, Python, Sklearn, Pandas, etc. - Desire to collaborate and come up with creative solutions - Additional Finance and FinTech experience preferred - Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics (M.S preferred) Note: The JD does not include any additional details about the company.

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Lead Data Scientist