Expert Analytics Leader

2 days ago

Guntur, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

We are seeking a Senior Data Scientist to spearhead advanced analytics initiatives. This role demands working with large, complex datasets, crafting scalable data-driven solutions, and applying mathematical and algorithmic techniques to uncover valuable insights.

Key Responsibilities:
  • The successful candidate will develop and implement innovative AI/ML frameworks to build, train, and deploy machine learning models at scale.
  • A strong background in mathematics is essential for this role, particularly in designing and implementing data similarity algorithms.
  • You will work closely with engineers and stakeholders to deliver scalable, intelligent solutions that drive business value.
  • Designing and implementing advanced search and traversal algorithms for complex data structures is critical for success in this position.
  • Large-scale, highly interconnected datasets require careful analysis to uncover patterns, insights, and business value.
  • As a Senior Data Scientist, you will leverage your mathematical expertise to solve complex algorithmic and analytical challenges.
  • Adaptability to new technologies and evolving project requirements is key to success.
  • Exceptional analytical and problem-solving skills, combined with attention to detail, are essential.
  • Excellent communication skills are required to explain complex technical concepts to non-technical stakeholders.
Required Skills:
  • 6+ years of experience in data science or architecture roles.
  • Strong hands-on experience with SQL & NoSQL databases.
  • Solid background in linear algebra, statistics, probability, and calculus.
  • Experience with search algorithms and data science workflows.
  • Proficient in Python and relevant ML libraries.
  • Proven knowledge of data similarity and search algorithms.
Nice to Have:
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Exposure to distributed computing frameworks (e.g., Spark, Hadoop).
  • Prior experience in architect-level roles in data-driven product teams.

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