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S&C Global Network - AI - Resources - Assoc Director Data Science

15-24 years

Mumbai, Gurgaon / Gurugram, Bangalore / Bengaluru

S&C Global Network - AI - Resources - Assoc Director Data Science

Accenture

posted 3d ago

Job Description


Entity:-

Accenture Strategy & Consulting

Team:-

Global Network- Data & AI

Practice:-

Resources

Title:-

Data Science Associate Director


Job Location:


Bangalore/Gurgaon/Mumbai


What you would do in this role

The ideal candidate shall be,
  • Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels
  • Strategic mindset, with the ability to drive business growth and identify new opportunities
  • Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems.
  • Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.
  • Take initiatives and collaborate with different Accenture internal teams and support driving sales.
  • Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases.
  • Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.
  • Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets.


  • Qualifications


    Who we are looking for?


    Qualifications and Experience:

  • Bachelors/Masters degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field
  • 15+ year(s) experience as a Data Science with a focus on cloud services.
  • Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design.
  • Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings.
  • Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred.
  • Understanding of programming languages such as Python, PySpark, SQL, or Scala.
  • Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring.
  • Solid understanding of data integration, data modeling, and data warehousing concepts.
  • Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.

  • Employment Type: Full Time, Permanent

    Read full job description

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