Senior Data Scientist

Key Responsibilities:

• Act as a mentor, guiding and coaching junior Data Scientists in technical and storytelling aspects.
• Lead the development, deployment, and adoption of open source LLM models to do text classification, building sentiment models.
• Lead the development, deployment, and adoption of causal inference models to measure marketing campaigns, optimizing investments across short and long-term business objectives.
• Collaborate with Data Engineering, Product and Technology teams on further build out of analytics architecture.
• Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines
• Translate insights into relevant business recommendations, anticipating the needs of business stakeholders.
• Research prior work to inform and develop models and algorithms and quantify appropriate metrics & targets

Required Qualifications, Experience & Skills

Education

• Bachelor's degree in computer science or Equivalent experience

Experience

• 6 to 10 years Data Science experience covering ML, DL and GenAI
• 2+ years of experience building end-to-end data science applications using dash, Flask, Streamlit and Django etc. (Preferred)

Skills

• Experience with building end-to-end data science applications
• Experience with NLP and LLM fine tuning
• Experience with cultural transformation to CI/CD and MLOps
• Experience with Azure MLOps or other SDLC tools
• Experience with Agile methodologies
• Experience building applications using fast APIs.
• Experience in a start-up, fast-growth, rapid-change environment
• Must be self-motivated, dedicated to quality and must always strive to do the right thing

Preferred Qualifications:

• Experience with HTML, CSS, JavaScript, version control using Git.
• Experience with Containers and Kubernetes
• Experience with TensorFlow, Pytorch etc.