6sense - Sr. Data Scientist
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Requirements
• 5+ years of experience in building and deploying machine learning systems in production environments • Strong foundation in machine learning, statistics, and applied data science • Experience with supervised and unsupervised learning techniques, recommendation systems, ranking models, and predictive modeling • Strong experience with NLP, transformer architectures, embeddings, encoders-decoder models, and retrieval-based systems • Hands-on experience with LLM application frameworks such as LangGraph, LangChain, Amazon Bedrock • Strong programming skills in Python and experience with modern ML/AI tooling ecosystems • Experience building scalable distributed systems and production ML pipelines in Databricks and AWS ecosystem • Strong understanding of data quality, feature engineering, and model operationalization • Ability to independently drive ambiguous problems from concept to production • Strong product mindset with the ability to think holistically about user experience, business impact, and system design • Experience building agentic AI systems and multi-agent workflows • Familiarity with RAG architectures, vector databases, and prompt engineering • Experience with deep learning frameworks such as PyTorch or TensorFlow • Experience in B2B SaaS or customer-facing AI products
Responsibilities
• 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 • Partner closely with Product, Engineering, and Data Analytics teams to translate ambiguous business problems into scalable AI solutions • Drive end-to-end ownership across experimentation, evaluation, deployment, monitoring, and iteration • Improve reliability, latency, scalability, and observability of ML systems in production • Contribute to architectural decisions and help define best practices for AI-native application development • Mentor junior engineers and contribute to raising the technical bar across the team.
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.
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