PloPdo Hiring Drive 2024 For Data Scientist | Location Noida

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PloPdo Hiring Drive 2024: PloPdo  Hiring Drive 2024 for its Data Scientist. PloPdo Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: PloPdo

Role: Data Scientist

Location: Noida

Experience: 3+years

Qualification: A Bachelor’s degree in a related field 

Batch: Any

Job Type: Full Time

Salary: Best in Industry

PloPdo Hiring Drive 2024

Requirements:

  • A Bachelor’s degree in a related field (Computer Science, Statistics, Mathematics, Engineering, etc.).
  • A Master’s or Ph.D. is a plus. 
  • Minimum of 3.5 years of hands-on experience as a Data Scientist, with a strong focus on time-series data analysis, classification techniques, and experience in training machine learning models using a variety of techniques, including supervised, unsupervised, and reinforcement learning. 
  • Profound knowledge of supervised learning algorithms (e.g., regression, decision trees, support vector machines, neural networks) and unsupervised learning techniques (e.g., clustering, dimensionality reduction). 
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and experience in developing deep neural networks for classification tasks. 
  • Demonstrated ability to design, build, and optimize machine learning models for real-world applications. 
  • Ability to work with large and complex datasets. 
  • A systematic approach to experimentation, including A/B testing and cross-validation. 
  • Willingness to work in a fast-paced start-up environment. 
  • Effective communication skills to collaborate with cross-functional teams, present findings, and explain complex machine learning concepts to non-technical stakeholders.

Responsibility:

  • Working knowledge of pattern recognition and signal processing using Data analysis. 
  • Experience with cloud and software technologies 
  • Working experience with MLOps. 
  • What will we do together? As a Data Scientist in our team, we will collaborate to: 
  • Leverage Machine Learning Techniques: Work together to apply a wide range of machine learning methods, including supervised, unsupervised, and reinforcement learning, to solve complex problems and drive business outcomes. 
  • Model Development: Collaborate in the development of cutting-edge machine learning models, with a focus on classification tasks, from concept to deployment. 
  • Data Exploration and Preprocessing: Explore and preprocess data to create high-quality datasets, ensuring that our models are trained on the most relevant and reliable information. 
  • Evaluation and Optimization: Continuously evaluate model performance and optimize models for accuracy, efficiency, and scalability. 
  • Innovation: Encourage innovation and experimentation to push the boundaries of what machine learning can achieve within our organization. 
  • Cross-Functional Collaboration: Collaborate with diverse teams across the company, sharing insights and ensuring alignment with business objectives. 
  • Professional Development: Support your ongoing professional development and growth in the field of machine learning and data science. 

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