Chief Analytics Strategist

6 days ago


Kanpur, Uttar Pradesh, India beBeeDataScience Full time ₹ 2,40,00,000 - ₹ 2,52,00,000
Lead Data Science Innovator

As a Lead Data Science Innovator, you will play a pivotal role in driving business transformation using data and analytics. You will leverage real-time insights to drive accurate and fast decision-making.

We are seeking an expert who can build modern data architectures using cloud and open-source technologies.

Our ideal candidate has experience working with the world's largest data producers, solving complex business problems through deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps.

This is a great opportunity to be part of a high-performing team that works together to energize and inspire each other by challenging the status quo in our Bengaluru office.

Key Responsibilities:

  • Develop a structured data science roadmap and guide a team to successfully execute on it.
  • Manage end-to-end client AI & analytics programs in a fluid environment, with a combination of hands-on contribution, technical team management, and client interaction.
  • Discover solutions hidden in large datasets and drive business results with their data-based insights.
  • Contribute to internal product development initiatives related to data science.
  • Drive excellent project management required to deliver complex projects, including effort/time estimation.
  • Be proactive, with full ownership of the engagement, building scalable client engagement level processes for faster turnaround & higher accuracy.
  • Define Technology/Strategy and Roadmap for client accounts, and guide implementation of that strategy within projects.
  • Manage team-members to ensure the project plan is being adhered to over the course of the project.
  • Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.

Essential Skills:

  • A B-Tech/M-Tech/MBA from a top-tier institute preferably in a quantitative subject.
  • 14+ years of hands-on experience in applied Machine Learning, AI, and analytics.
  • Experience of 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 depth and breadth of machine learning, deep learning, data mining, and statistical concepts, and experience in developing models and solutions in these areas.
  • Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.

Desirable 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 required inputs to sales, and pre-sales activities.
  • A self-starter who can work well with minimal guidance.
  • Excellent written and verbal communication skills.


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