Chief Analytics Officer

2 weeks ago

Varanasi, Uttar Pradesh, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title

A Data Scientist is needed to drive business growth through data-driven decision making.

Key Responsibilities
  • Model Development: We are seeking a skilled model developer who can design, build, and optimize supervised, unsupervised, and deep learning models for various business problems.
  • Data Exploration & Feature Engineering: The ideal candidate will be responsible for cleaning, transforming, and analyzing structured and unstructured data, identifying significant features.
  • AI Integration: Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks.
  • Collaboration: Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions.
  • Evaluation & Reporting: Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports.
  • Research & Innovation: Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications.
Required Skills and Qualifications

We are looking for candidates with hands-on experience in:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field
  • 4-6 years of 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)

Strong analytical and communication skills are required. Experience in industry-specific AI applications (e.g., fintech, healthcare, retail) and contribution to open-source projects or ML competitions (e.g., Kaggle) are highly desirable.

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