6sense
Sr.DataScientist
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“Sr. Data Scientist at 6sense. Skills: machine learning, NLP, GenAI, AI systems. Design ML and AI systems. Deploy production-grade ML systems”
What You'll Achieve.
multiply what matters: growth, retention, and efficiency; reach their full potential; impact customer experience; impact business outcomes; value we create for our customers; best chapter of your career
Industry & Context.
problem framing; applied data science; ambiguous problems; business problems; AI solutions
What They're Looking For.
Must Have
5+ years of experience in building and deploying machine learning systems in production environments, foundation in machine learning, statistics, applied data science, supervised and unsupervised learning techniques, recommendation systems, ranking models, predictive modeling, NLP, transformer architectures, embeddings, encoders-decoder models, retrieval-based systems, LLM application frameworks, LangGraph, LangChain, Amazon Bedrock, Python, ML/AI tooling ecosystems, scalable distributed systems, production ML pipelines, Databricks, AWS ecosystem, data quality, feature engineering, model operationalization, drive ambiguous problems from concept to production, product mindset, holistically about user experience, business impact, system design
Nice to Have
building agentic AI systems, multi-agent workflows, RAG architectures, vector databases, prompt engineering, deep learning frameworks, PyTorch, TensorFlow, B2B SaaS, customer-facing AI products
What You'll Do.
Design ML and AI systems
Deploy production-grade ML systems
Develop NLP solutions
Build agentic AI workflows
Work across ML lifecycle
Apply statistical techniques
Solve ranking problems
Solve recommendation problems
Solve prediction problems
Solve classification problems
Solve optimization problems
Drive end-to-end ownership
Improve reliability of ML systems
Improve latency of ML systems
Improve scalability of ML systems
Improve observability of ML systems
Contribute to architectural decisions
Define best practices for AI applications
Mentor junior engineers
How You'll Work.
Team & Collaboration
Partner closely with Product teams; Partner closely with Engineering teams; Partner closely with Data Analytics teams; Work with your teams
Process & Methodology
Drive ambiguous problems from concept to production, end-to-end ownership
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 the Role We are looking for a Sr. Data Scientist to join the Data Science team at 6sense. This role is ideal for someone who combines strong data science fundamentals with deep expertise in building applied machine learning, NLP, and modern GenAI systems. You will work on building scalable AI-powered products and intelligent systems that directly impact customer experience and business outcomes. The ideal candidate is technically strong, product-oriented, and capable of thinking end-to-end — from problem framing and experimentation to productionization, monitoring, and long-term evolution of AI systems. What You’ll Do Design, build, and deploy production-grade ML and AI systems powering core product capabilities Develop and optimize NLP and transformer-based solutions for enterprise-scale use cases Build agentic AI workflows using frameworks such as LangGraph and LangChain Work across the full ML lifecycle including data exploration, feature engineering, model development, evaluation, deployment, and monitoring Apply statistical and machine learning techniques to solve ranking, recommendation, prediction, classification, and optimization problems Partner closely with Product, Engineering, and Data Analytics teams to translate ambiguous business problems into scalable AI solutions Dr
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