Visionary Data Science Professional

2 days ago


Aligarh, Uttar Pradesh, India beBeeDataScience Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

Data Science Leader

We are seeking a visionary professional to shape our data science initiatives and drive innovation in AI/ML. This role will be instrumental in defining our data strategy, building scalable data solutions, and directly impacting our business.

About the Role

  • Strategic Leadership: Champion the company's data science vision and strategy, aligning it with business objectives. Identify and prioritize high-impact data science projects.
  • Architecture Design: Design and architect scalable and robust data platforms and solutions to support advanced analytics and AI/ML initiatives. Evaluate and select appropriate technologies and tools.
  • Model Development & Innovation: Lead the development and implementation of advanced statistical and machine learning models to solve complex business problems. Drive innovation by exploring and experimenting with new algorithms and techniques.
  • Data Exploration & Analysis: Lead data exploration and analysis efforts, identifying key insights and trends that can inform business decisions. Develop data visualizations and dashboards to communicate findings effectively.
  • Mentorship & Team Leadership: Mentor and guide junior data scientists and engineers, fostering a culture of learning and growth. Provide technical leadership and direction on data science projects.
  • Cross-functional Collaboration: Collaborate closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions. Communicate complex technical concepts to non-technical audiences.
  • Research & Development: Stay up-to-date with the latest advancements in data science, AI/ML, and related fields. Contribute to research and development efforts, exploring new methodologies and technologies.
  • Data Governance & Quality: Champion data governance and quality initiatives, ensuring data accuracy, consistency, and compliance. Develop and implement data quality checks and validation procedures.
  • Thought Leadership: Represent the company at industry conferences, publish research papers, and contribute to the data science community.


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