Data Scientist
Role details
Job location
Tech stack
Job description
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.
Requirements
- 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.
Benefits & conditions
Base Salary Range: $162,923.67 - $238,954.71. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote
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Our 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.