Sr. Data Scientist
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-10
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
The Opportunity
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.
What You'll Do- 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 Lang Graph and Lang Chain.
- 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.
Required Qualifications
- 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:
- Lang Graph
- Lang Chain
- Amazon Bedrock
- 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.
- Experience building Agentic AI and Multi‑Agent Systems.
- Experience with:
- RAG Architectures
- Vector Databases
- Prompt Engineering
- Hands‑on experience with PyTorch and/or Tensor Flow.
- Prior experience in B2B SaaS or customer‑facing AI products.
Base Salary Range: $ - $. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position.
Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board.
Full‑time employees can take advantage of generous health insurance coverage, life and disability insurance, a 401K employer matching program, paid holidays, quarterly self‑care days off, and paid time off (PTO). 6sense also provides equipment and support needed to work from home or in company offices.
Equal Opportunity
Employer:
6sense is an Equal Employment Opportunity and affirmative action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
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