Advanced Data Science Professional

14 hours ago


Varanasi, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Scientist Job Opportunity

We are seeking a highly skilled Senior Data Scientist to join our team. This is an excellent opportunity for experienced professionals looking to advance their careers and make a meaningful contribution to the field of data science.


Job Description:
  • Collect, clean, and analyze structured and unstructured data to inform business decisions.
  • Design and deploy machine learning and deep learning models for predictive analytics, customer insights, and process optimization.
  • Perform statistical analysis and build data-driven solutions aligned with business needs.
  • Develop dashboards and visual reports for stakeholders.

Required Skills and Qualifications:
  • Core Data Science: Advanced statistics, probability, hypothesis testing, and predictive modeling.
  • Machine Learning & Deep Learning: Expertise in regression, classification, clustering, recommendation systems, and NLP.
  • Programming: Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
  • Generative AI: Recent hands-on experience with language models, prompt engineering, fine-tuning, and retrieval-augmented generation.
  • Frameworks & Tools: Familiarity with LangChain, LangGraph, Hugging Face Transformers, and vector databases like Pinecone, FAISS, and Weaviate.
  • Cloud Platforms: Azure preferred, but AWS or GCP experience a plus.
  • MLOps: Knowledge of model lifecycle management, CI/CD for ML, containerization, and API deployment.
  • Data Visualization: Experience with Matplotlib, Seaborn, Power BI, or Tableau.

Benefits:
  • Opportunity to work on cutting-edge projects and technologies.
  • Collaborative and dynamic work environment.
  • Professional development opportunities and support for ongoing education.

Others:
  • Stay current with emerging trends in data science and generative AI.
  • Document solutions and contribute to team-wide knowledge sharing.
  • Ensure responsible and ethical AI practices across all deployments.


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