Innovative Data Science Leader

9 hours ago

Allahabad, Uttar Pradesh, India beBeeDataScience Full time ₹ 1,80,00,000 - ₹ 3,00,00,000

Job Opportunity: We are seeking an innovative Data Science Leader to spearhead our data science initiatives.

The role will be pivotal in shaping our data strategy, driving innovation in Artificial Intelligence and Machine Learning, and building scalable data solutions that directly impact our business. The ideal candidate will be a technical leader, mentor, and thought leader, working closely with cross-functional teams to identify opportunities, develop cutting-edge models, and architect robust data platforms.

  • Strategic Leadership: Define and 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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