Transform Business with Data: Senior Data Science Leadership Role

3 days ago

Pune, Maharashtra, India beBeeDataScientist Full time US$ 1,50,000 - US$ 2,50,000

As a Director of Data Science, you will play a key role in driving business transformation using data and analytics.

Our team enables organizations to make accurate and fast business decisions by leveraging real-time insights.

We build modern data architectures using cloud and open source technologies, serving some of the world's largest data producers.

Deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps is required for this position.

This role is part of our Bengaluru office, where you will have the opportunity to combine technical expertise and creativity to tackle complex business problems.

You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other.

Roles and Responsibilities:
  • Lead a structured data science roadmap and guide a team to successfully execute on it.
  • Handle end-to-end client AI & analytics programs in a fluid environment.
  • Discover solutions hidden in large datasets and drive business results with data-based insights.
  • Contribute to internal product development initiatives related to data science.
  • Drive excellent project management required to deliver complex projects.
  • Be proactive and build scalable client engagement level processes for faster turnaround & higher accuracy.
  • Define Technology/Strategy and Roadmap for client accounts.
  • Manage team members to ensure adherence to the project plan over the course of the project.
Key Skills and Qualifications:
  • 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 in scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP).
  • Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts.
  • Expertise with client engagement, understanding complex problem statements, and offering solutions in various domains.
Additional Requirements:
  • 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.
  • Excellent written and verbal communication skills.

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