Senior Data Scientist

5 days ago

bangalore, India Process Point Technologies Corporation Full time

Senior Data Scientist

Location: India (Remote)

Open Positions: 3

Experience: 5+ years in applied Data Science with production deployments

Technical Requirements

  • Core Data Science & Statistics
  • Statistical Foundation: Demonstrated experience with experimental design, A/B testing, causal inference, and time series analysis. Must be able to explain when and why to use different statistical tests.
  • Machine Learning: Hands-on experience building and deploying models for regression, classification, clustering, and forecasting. Should have optimized hyperparameters, handled class imbalance, and dealt with feature drift in production.
  • Deep Learning: Practical experience with neural networks beyond tutorials - custom architectures, loss functions, and optimization strategies for specific business problems.

Programming & Engineering

  • Python Proficiency: Advanced usage of core data science stack (Pandas, NumPy, Scikit-learn). Experience with at least one deep learning framework (PyTorch preferred, TensorFlow acceptable).
  • Production Code: Experience writing maintainable, tested code. Understanding of version control, code reviews, and collaborative development practices.
  • Performance Optimization: Experience with profiling, vectorization, and handling datasets that don't fit in memory.

LLM Experience (Good to Have)

  • API Integration: Experience integrating with OpenAI, Anthropic, or other LLM APIs in production applications.
  • Prompt Engineering: Systematic approach to prompt design, few-shot learning, and prompt optimization for specific tasks.
  • Fine-tuning & Customization: Experience with parameter-efficient fine-tuning (LoRA, QLoRA) or custom training for domain-specific applications.

Responsibilities

  • Collect, clean, and analyze large datasets to derive insights and build predictive solutions.
  • Design and deploy ML/DL models that solve business problems (customer insights, forecasting, optimization).
  • Collaborate with cross-functional teams to integrate AI solutions into business workflows.
  • Build dashboards, reports, and visualizations for business stakeholders.
  • Contribute to projects involving LLM-based applications (chatbots, summarization, assistants) as needed.
  • Stay updated with industry trends and contribute to knowledge sharing within the team.

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