Chief Analytics Officer

6 days ago

Thāne, Maharashtra, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Principal Data Scientist/AI Architect

We are seeking a visionary leader to spearhead our data science initiatives. This role will define our data strategy, drive innovation in AI/ML, and build scalable data solutions that directly impact our business.

  • Strategic Leadership: Define and champion the company's data science vision and strategy, aligning it with business objectives.
  • Architecture Design: Design and architect scalable and robust data platforms and solutions to support advanced analytics and AI/ML initiatives.
  • Model Development & Innovation: Lead the development and implementation of advanced statistical and machine learning models to solve complex business problems.
  • Data Exploration & Analysis: Lead data exploration and analysis efforts, identifying key insights and trends that can inform business decisions.
  • Mentorship & Team Leadership: Mentor and guide junior data scientists and engineers, fostering a culture of learning and growth.
  • Cross-functional Collaboration: Collaborate closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions.
  • Research & Development: Stay up-to-date with the latest advancements in data science, AI/ML, and related fields.
  • Data Governance & Quality: Champion data governance and quality initiatives, ensuring data accuracy, consistency, and compliance.
Requirements
  • Education: Ph.D./Bachelor/Master's degree in Computer Science, Statistics, Mathematics, or a related field with a strong focus on data science and machine learning.
  • Experience: 12+ years of overall experience with minimum 8+ years in data science, with a proven track record of developing and deploying successful AI/ML solutions.
  • Technical Skills:
  • Strong expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining techniques.
  • Proficiency in programming languages such as Python, R, or similar.
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (e.g., AWS, Azure, GCP).
  • Excellent skills in descriptive and inferential statistics, probability distributions, hypothesis testing, linear algebra, and gradient calculus.
  • Familiarity with data visualization tools & libraries (e.g., Tableau, Power BI, Plotly, Matplotlib, Seaborn, Vega-Lite and others).
  • Experience with MLOps tools and practices is a plus.

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