Chief Analytics Officer

18 hours ago

Vijayawada, Andhra Pradesh, India beBeeDataScience Full time US$ 1,80,000 - US$ 2,20,000

Transforming businesses through data and analytics is at the heart of our vision.

We're a team that leverages real-time insights to make informed business decisions by building modern data architectures using cloud and open source technologies.

Our work has helped some of the world's largest data producers solve complex business problems.

As a Director Data Science, you'll lead our efforts in data engineering, predictive analytics, artificial intelligence, and DataOps.

With deep expertise in these areas, we've been recognized as one of the fastest growing technology companies in North America.

This role is based in Bengaluru, where you'll collaborate with our high-performing team to drive innovation and excellence.

Key Responsibilities:

  • Develop a structured data science roadmap and guide a team to execute on it effectively.
  • Manage end-to-end client AI & analytics programs in a dynamic environment, combining hands-on contribution, technical team management, and client interaction.
  • Uncover solutions hidden in large datasets and drive business results with data-driven insights.
  • Contribute to internal product development initiatives related to data science.
  • Drive excellent project management required to deliver complex projects, including effort/time estimation.

Mandated Skills:

  • Bachelor's/Master's degree from a top-tier Institute in a quantitative subject.
  • 14+ years of hands-on experience in applied Machine Learning, AI, and analytics.
  • Scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP).
  • Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc.
  • Strong grasp of machine learning, deep learning, data mining, and statistical concepts.

Desired Skills:

  • Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
  • Comfortable with large-scale data processing and distributed computing.
  • Providing necessary inputs to sales, and pre-sales activities.

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