Senior Data Scientist

• 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
• 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

Benefits

• Health & Wellness: Parental Leave, Wellness Days Off, Quarterly Wellness Speakers, Wellness Challenges
• Giving Back: Giving Fridays Rotating Charity Support, 6sense Gives Back Programs, Month of Service
• Social Well Being: Flexible Time Off, HUB Working Model, WeWork Access
• Professional Development: LinkedIn Learning Courses, WFH Stipend, Revenue Certifications, Management Training- Strong Python programming skills
• Predictive Modeling
• Strong product mindset with focus on customer impact and business outcomes
• Ranking Models
• 8+ years of experience building and deploying machine learning solutions in production
• Encoder-Decoder Architectures
• Retrieval-based Systems
• Recommendation Systems
• Amazon Bedrock
• Hands-on experience with GenAI ecosystems including:
• Ability to independently solve ambiguous problems and drive execution
• NLP
• Embeddings
• Supervised & Unsupervised Learning
• Strong foundation in Machine Learning, Statistics, and Applied Data Science
• LangChain
• LangGraph
• Strong understanding of feature engineering, model evaluation, and MLOps
• Experience building distributed ML systems and pipelines using AWS and Databricks
• Transformers
• Experience building Agentic AI and Multi-Agent Systems
• RAG Architectures
• Vector Databases
• Hands-on experience with PyTorch and/or TensorFlow
• Prompt Engineering
• Prior experience in B2B SaaS or customer-facing AI products
• Experience with;
• Deep expertise in: