Vice President - Data Scientist

1w1 week ago

BNY

Pune, IN · Full-time · INR 4,500,000 – INR 7,500,000

About this role

The Vice President, Data Scientist plays a critical role in driving data-driven decision-making by leveraging advanced data analytics and statistical modeling. This position sits within the Data Science job family, focusing on the tech-driven function of Data Management. It contributes to strategic pillars by enhancing operational efficiency and innovation through robust data insights.

Lead complex data analysis projects applying advanced statistical techniques and machine learning models to extract actionable insights. Drive business strategy and operational improvements with data-driven solutions. Manage and refine large datasets ensuring data integrity and accuracy using best practices in data management and governance.

Collaborate with cross-functional teams to design and implement solutions aligning with organizational goals. Demonstrate expertise in data science methodologies while communicating findings to stakeholders at all levels. Translate complex data concepts into clear, actionable business strategies fostering collaboration and client-focused solutions.

Develop and maintain predictive models forecasting business trends with strategic recommendations supported by data evidence. Stay updated on industry trends and emerging technologies in data science. Continuously enhance analytical capabilities to propel business growth and client satisfaction.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, or a related field or equivalent combination of education and experience
Advanced degree preferred
Typically 3-6 years of experience
Proficiency in statistical programming languages such as Python, R, or SQL
Strong analytical and problem-solving skills with ability to interpret complex datasets
Excellent communication skills capable of conveying data-driven insights to technical and non-technical audiences

Responsibilities

Lead complex data analysis projects by applying advanced statistical techniques and machine learning models to extract actionable insights
Collaborate with cross-functional teams to design and implement data-driven solutions aligning with organizational goals
Manage and refine large datasets ensuring data integrity and accuracy utilizing best practices in data management and governance
Develop and maintain predictive models that forecast business trends providing strategic recommendations supported by data evidence
Stay updated on industry trends and emerging technologies in data science to enhance analytical capabilities
Communicate findings and insights effectively to stakeholders translating complex data concepts into actionable business strategies