Data Expert

19 hours ago

Pune, Maharashtra, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,01,00,000

Unlocking business value through cutting-edge data science requires a unique blend of technical expertise and entrepreneurial spirit.

As a seasoned Data Science Consultant, you will collaborate with global teams to build innovative solutions and define AI strategy that drives real-world impact.

The ideal candidate will possess strong analytical skills, logical structuring abilities, and expert-level understanding of databases.

You will be responsible for leading data pipeline design, working with stakeholders to establish productive relationships, and confronting new technologies and IT-related issues.

A successful applicant will have experience in machine learning algorithms, programming skills, and exposure to NLP and computer vision use cases.

Additionally, you will have a solid understanding of statistics, including hypothesis formulation and testing, as well as familiarity with toolkits such as Pytorch, TF/Keras, Scikit-Learn, and BERT.

We are seeking individuals who are team players, emotionally intelligent, and able to work collaboratively with SMEs to deliver best-in-class solutions.

Responsibilities include:

  • Designing world-class technology solutions to solve complex business problems
  • Establishing productive relationships with various stakeholders
  • Leading data pipeline design with strong analytical skills
  • Confronting new technologies and IT-related issues
  • Collaborating with teams to understand business requirements and client infrastructure
  • Working with global teams and Fortune 500 clients to build solutions and define AI strategy

Requirements include:

  • Bachelor's or master's degree/PhD in Statistics, Computer Science, or a related field
  • Solid understanding of statistics, including hypothesis formulation and testing
  • Expert-level experience in Python or R
  • Experience in machine learning algorithms like linear/logistic regression, random forest, SVM, neural networks, and deep learning
  • Exposure to NLP and computer vision use cases
  • In-depth knowledge of neural networks and architectures
  • Familiarity with the latest DL architectures

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