Principal Data Science Architect

2 days ago

Anantapur, Andhra Pradesh, India beBeeDataScience Full time ₹ 1,73,40,000 - ₹ 2,42,70,000
Key Responsibilities:
  • Strategic Visionary: Develop and champion a data-driven vision that aligns with business objectives.
  • Architecture Expert: Design and architect scalable, robust data platforms and solutions to support advanced analytics and AI/ML initiatives.
  • Model Developer & Innovator: Lead the development and implementation of advanced statistical and machine learning models to solve complex business problems.
  • Data Explorer & Analyst: Lead data exploration and analysis efforts, identifying key insights and trends that inform business decisions.
  • Mentor & Team Leader: Mentor and guide junior data scientists and engineers, fostering a culture of learning and growth.
  • Cross-functional Collaborator: Collaborate closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions.

We're seeking a highly skilled Principal Data Scientist/Architect to lead and shape our data science initiatives. This role will be instrumental in defining our data strategy, driving innovation in AI/ML, and building scalable data solutions that directly impact our business.

Required Skills & Qualifications:

  • 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 Expertise:
  • Strong expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Proficiency in programming languages such as Python, R, or similar.
  • Experience with big data technologies and cloud computing platforms.
  • Excellent skills in descriptive and inferential statistics.
  • Knowledge of generative AI, dimensionality reduction, and feature extraction techniques.

Benefits:

  • Opportunity to work with cutting-edge technology and drive innovation in AI/ML.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

Others:

  • Must be willing to learn and adapt to new technologies and methodologies.
  • Strong communication and collaboration skills.

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