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Principal Data Strategist

2 weeks ago

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Lead a team of data engineers, analysts, and scientists to deliver impactful data-driven solutions.

Key Responsibilities:

  • Data Strategy: Connect with stakeholders to understand business requirements, coordinate with POCs to gather relevant data artifacts, and create project plans and sprints for milestones and deliverables.
  • Data Engineering: Spin VMs, create and optimize clusters for data science workflows, and create data pipelines to ingest data effectively.
  • Data Quality: Assure data quality with proactive checks and resolve gaps, carry out EDA, feature engineering, and define performance metrics prior to running ML/DL algorithms.
  • Model Development: Research existing solutions, create optimized data models to query relevant data efficiently, run ML/DL algorithms for business goal-seeking, and optimize and validate these ML/DL models to scale.
  • Deployment: Create light applications, simulators, and scenario builders to help businesses consume end outputs, integrate and operationalize models in client ecosystems, and document project artifacts and log failures and exceptions.

Requirements:

  • Bachelor's or Master's degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline).
  • Good programming skills in Python with strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc.
  • Experience with large language models (LMs), including Llama, T5, Falcon, Langchain, or similar frameworks.
  • Awareness of the entire evolution history of NLP, training data creation, training setup, and finetuning.
  • Comfortable interpreting research papers and architecture diagrams of language models.
  • Comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.
  • Predictive modeling experience in Python (Time Series/Multivariable/Causal).
  • Experience applying various machine learning techniques and understanding key parameters affecting their performance.
  • Excellent verbal and written communication.
  • Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects.