Data Science Specialist

3 days ago

Mumbai, Maharashtra, India IKS Health Full time

Key Responsibilities

  1. Advanced Model Development:
    Design, build, train, and validate state-of-the-art AI models, with a special focus on Deep Learning, Natural Language Processing (NLP), and Generative AI (including LLMs).
  2. Data Analysis & Preprocessing:
    Perform in-depth data exploration, analysis, and feature engineering on large, complex datasets to prepare them for modeling.
  3. Problem Formulation:
    Work with stakeholders to understand business problems and translate them into well-defined data science projects.
  4. Collaboration:
    Partner closely with AI engineers, product managers, and other data scientists to deploy models into production and integrate them into our products.
  5. Model Validation & Iteration:
    Rigorously test and evaluate models for performance, fairness, and robustness. Continuously iterate and improve model performance over time.
  6. Innovation & Research:
    Stay current with the latest advancements in AI and machine learning. Apply new techniques and research to solve business challenges.
  7. Communicate Insights:
    Clearly communicate complex findings and the value of your work to both technical and non-technical stakeholders.

Qualifications & Skills

  • Educational Background:
    Master's degree in Computer Science, AI, Statistics, or a related quantitative field.
  • Professional Experience:
    3+ years of hands-on experience in building and deploying data science and machine learning models.
  • Technical Expertise:
  • Strong expertise in machine learning, deep learning, NLP, and statistical modeling.
  • High proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face, Pandas).
  • Experience with data querying languages (e.g., SQL).
  • Problem-Solving:
    Excellent analytical and problem-solving skills with a creative and curious mindset.
  • Communication:
    Strong verbal and written communication skills.

Preferred Qualifications

  • Experience with large-scale data processing frameworks like Apache Spark.
  • Hands-on experience with a major cloud platform (e.g., AWS, GCP, Azure).
  • A portfolio of data science projects (e.g., via GitHub, Kaggle).
  • Experience working in a fast-paced, product-driven tech environment.

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