Senior Data Scientist

Role Description

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.

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.

Qualifications

• 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.

Requirements

• 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

• Health coverage
• Paid parental leave
• Generous paid time-off and holidays
• Quarterly self-care days off
• Stock options
• Support for equipment and connectivity
• Access to LinkedIn Learning platform
• Quarterly wellness education sessions
• Celebration of employee backgrounds through ERG-hosted events