Senior Data Analyst

6 days ago

Jodhpur, Rajasthan, India beBeeDataScience Full time ₹ 60,00,000 - ₹ 1,00,00,000
Job Title: Data Scientist

Role Overview:

We are seeking an innovative and results-driven data scientist to join our team.

Main Responsibilities:

  • Design, build, and optimize models for various business problems using machine learning algorithms.
  • Collect, clean, transform, and analyze structured and unstructured data; identify significant features.
  • Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks.
  • Collaborate with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions.
  • Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports.
  • Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications.

Required Skills & Qualifications:

  • Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field
  • 4- 6 years of hands-on experience in Python, R, SQL Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM)
  • Deep Learning (e.g., TensorFlow, PyTorch, Keras)
  • Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn)
  • Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow)
  • Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools
  • Familiarity with large-scale data processing (e.g., Spark, Dask)
  • Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain)

A Plus:

  • Experience in industry-specific AI applications (e.g., fintech, healthcare, retail)
  • Contribution to open-source projects or ML competitions (e.g., Kaggle)
  • Certifications in Data Science / AI from recognized platforms

What We Offer:

  • A dynamic and collaborative work environment
  • Opportunities to work on cutting-edge AI/ML projects
  • Flexible work arrangements
  • Competitive compensation and performance bonuses
  • Continuous learning support through training and certifications

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