Image Loading

Senior Data Scientist

Job Description

  • Gurgaon, Haryana, India

Role: Senior Data Scientist

  • Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience
  • Work closely with the business stakeholders to identify the potential Data science applications
  • Contribute by doing opportunity analysis, building project proposals, designing and implementation of ML projects, in the areas of Ranking, Embeddings, Recommendation engines etc
  • Collaborate with software engineering teams to design experiments, model implementations and new feature creation
  • Clearly communicate technical details, strategies and outcomes to a business audience

Requirements

  • 5+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.
  • Previous experience in model deployment, model monitoring, optimization and model interpretability.
  • Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms
  • Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc.
  • Solid understanding of Python and common machine learning frameworks such as XGBoost, scikit-learn, PyTorch/Tensorflow
  • Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
  • Technology-driven mindset, up-to-date with digital and technology literature, trends.
  • S/he must have knowledge of Experimentation and Basic Statistics
  • S/he must have experience in Predictive Analytics.

Skills

  • ML
  • NLP
  • Deep Learning
  • data science
  • Python
  • Data Analytics

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

May 03, 2024

Experience

5-10 Years

Compensation (Annual in Lacs)

Best in the Industry

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

Copyright © 2022 All Rights Reserved. Saas Talent