Sr. Data Scientist

6senseSan Francisco, CA
$162,924 - $238,955Remote

About The Position

We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data Science team. This is an exciting opportunity for an experienced ML practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products. You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes.

Requirements

  • 8+ years of experience building and deploying machine learning solutions in production.
  • Strong foundation in Machine Learning, Statistics, and Applied Data Science.
  • Experience with: Supervised & Unsupervised Learning, Recommendation Systems, Ranking Models, Predictive Modeling.
  • Deep expertise in: NLP, Transformers, Embeddings, Encoder-Decoder Architectures, Retrieval-based Systems.
  • Hands-on experience with GenAI ecosystems including: LangGraph, LangChain, Amazon Bedrock.
  • Strong Python programming skills.
  • Experience building distributed ML systems and pipelines using AWS and Databricks.
  • Strong understanding of feature engineering, model evaluation, and MLOps.
  • Ability to independently solve ambiguous problems and drive execution.
  • Strong product mindset with focus on customer impact and business outcomes.

Nice To Haves

  • Experience building Agentic AI and Multi-Agent Systems.
  • Experience with: RAG Architectures, Vector Databases, Prompt Engineering.
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Prior experience in B2B SaaS or customer-facing AI products.

Responsibilities

  • Design, build, and deploy scalable machine learning and AI solutions in production environments.
  • Develop NLP and transformer-based systems for enterprise-scale applications.
  • Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain.
  • Own the end-to-end ML lifecycle, including: Data exploration, Feature engineering, Model development, Evaluation, Deployment, Monitoring.
  • Develop ranking, recommendation, classification, prediction, and optimization models.
  • Partner closely with Product, Engineering, and Analytics teams to solve complex business problems.
  • Improve performance, scalability, reliability, and observability of production ML systems.
  • Contribute to AI platform architecture and technical strategy.
  • Mentor engineers and help elevate engineering excellence across the organization.

Benefits

  • Health coverage
  • Paid parental leave
  • Generous paid time-off and holidays
  • Quarterly self-care days off
  • Stock options
  • Equipment and support for work
  • Access to LinkedIn Learning platform
  • Quarterly wellness education sessions
  • 401K employer matching program
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