Sr. Data Scientist

Cacheflow; San Francisco (CA); On-site; USD 162,923 - 238,954; Full time

Benefits offered by this job

Health coverage

Paid parental leave

Generous paid time-off

Stock options

Job summary

Cacheflow is seeking a Senior Data Scientist to join our AI and Data Science team in San Francisco. This role involves designing and deploying scalable machine learning systems and developing NLP solutions that drive product innovation.

The ideal candidate will have over 8 years of ML experience, a strong Python background, and expertise in AI frameworks like LangGraph and LangChain. We offer competitive pay and various benefits to support employee well-being and growth.

Qualifications

• 8+ years of experience building and deploying machine learning solutions in production.
• Strong foundation in Machine Learning and Applied Data Science.
• Hands-on experience with GenAI ecosystems.

Responsibilities

• Design, build, and deploy scalable machine learning and AI solutions.
• Develop NLP and transformer-based systems.
• Own the end-to-end ML lifecycle.

Skills

Machine Learning

Statistics

Natural Language Processing (NLP)

Python

AWS

Databricks

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

LangGraph

LangChain

Job description

About 6sense

6sense is revolutionizing how B2B organizations create, manage, and convert pipeline to revenue. Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying intent, engage the right accounts, and drive growth.

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 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.

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:
  • 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.

Preferred Qualifications

• 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.

Base Salary Range: $162,923.67 - $238,954.71

Benefits

Full‑time employees can take advantage of health coverage, paid parental leave, generous paid time‑off and holidays, quarterly self‑care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.

We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well‑being is also top of mind for us. We host quarterly wellness education sessions to encourage self‑care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.

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 [e-mail].