Sr. Data Scientist
Listed on 2026-06-17
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
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 OpportunityWe'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.
- 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
- 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.
- 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: $ - $
BenefitsFull‑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 Linked In 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.
EqualOpportunity 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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