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Senior Data Scientist

6sense · San Francisco, United States

External listingfull-timeabout 2 months ago

About The Role

Join our AI and Data Science team as a Senior Data Scientist. In this role, you will design, build, and deploy scalable machine learning and AI solutions, develop NLP and transformer-based systems, and own the end-to-end ML lifecycle. You will partner closely with Product, Engineering, and Analytics teams to solve complex business problems and improve the performance of production ML systems. Additionally, you will contribute to AI platform architecture and technical strategy, mentor engineers, and help elevate engineering excellence across the organization.

  • Designing, building, and deploying scalable machine learning and AI solutions in production environments.
  • Owning the end-to-end ML lifecycle, including data exploration, feature engineering, model development, evaluation, deployment, and monitoring.
  • Partnering closely with Product, Engineering, and Analytics teams to solve complex business problems and improve performance, scalability, reliability, and observability of production ML systems.
  • Strong Python programming skills
  • Predictive Modeling
  • Strong product mindset with focus on customer impact and business outcomes
  • Ranking Models
  • 8+ years of experience building and deploying machine learning solutions in production
  • Encoder-Decoder Architectures
  • Retrieval-based Systems
  • Recommendation Systems
  • Amazon Bedrock
  • Hands-on experience with GenAI ecosystems including:
  • Ability to independently solve ambiguous problems and drive execution
  • NLP
  • Embeddings
  • Supervised & Unsupervised Learning
  • Strong foundation in Machine Learning, Statistics, and Applied Data Science
  • LangChain
  • LangGraph
  • Strong understanding of feature engineering, model evaluation, and MLOps
  • Experience building distributed ML systems and pipelines using AWS and Databricks
  • Transformers
  • Experience building Agentic AI and Multi-Agent Systems
  • RAG Architectures
  • Vector Databases
  • Hands-on experience with PyTorch and/or TensorFlow
  • Prompt Engineering
  • Prior experience in B2B SaaS or customer-facing AI products
  • Experience with;
  • Deep expertise in:

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