6sense

Sr.DataScientist

$175–250k ~AI est. San Francisco, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Data Scientist at 6sense. Skills: Machine Learning, AI, NLP, GenAI. Design ML and AI solutions. Build ML and AI solutions”

What You'll Achieve.

Influence product innovation; Drive customer outcomes

Industry & Context.

Problems you'll solve

Solve ambiguous problems

What They're Looking For.

Must Have

8+ years experience, Machine Learning foundation, Statistics foundation, Applied Data Science foundation, Supervised Learning experience, Unsupervised Learning experience, Recommendation Systems experience, Ranking Models experience, Predictive Modeling experience, NLP expertise, Transformers expertise, Embeddings expertise, Encoder-Decoder Architectures expertise, Retrieval-based Systems expertise, GenAI ecosystems experience, LangGraph experience, LangChain experience, Amazon Bedrock experience, Python programming skills, AWS distributed ML systems experience, Databricks distributed ML systems experience, feature engineering understanding, model evaluation understanding, MLOps understanding, solve ambiguous problems, drive execution, product mindset, customer impact focus, business outcomes focus

Nice to Have

Agentic AI experience, Multi-Agent Systems experience, RAG Architectures experience, Vector Databases experience, Prompt Engineering experience, PyTorch experience, TensorFlow experience, B2B SaaS experience, customer-facing AI products experience

What You'll Do.

Design ML and AI solutions

Build ML and AI solutions

Deploy ML and AI solutions

Build Agentic AI workflows

Develop ranking models

Develop recommendation models

Develop classification models

Develop prediction models

Develop optimization models

Partner with Product teams

Partner with Engineering teams

Partner with Analytics teams

Improve ML system performance

Improve ML system scalability

Improve ML system reliability

Improve ML system observability

Contribute to AI platform architecture

Contribute to technical strategy

Elevate engineering excellence

How You'll Work.

Team & Collaboration

Product teams; Engineering teams; Analytics teams

Full Job Description

Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. 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 problem

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