Senior Data Scientist

3-5+ years of experience in data science, ML, or applied statistics in a product or growth-oriented B2B SaaS environment Experience collaborating closely with Product, Engineering, or Marketing teams to ship user-facing AI features or data products Ability to clearly communicate technical concepts to stakeholders across varying levels of technical fluency Strong programming skills in Python and experience with ML libraries like scikit-learn, XGBoost, PyTorch, or TensorFlow Demonstrated ability to design, train, and validate models using structured and unstructured data Strong analytical skills and experience working with large datasets using SQL, Pandas, and other data tools Experience with LLMs, embeddings, and vector search tools (e.g. LangChain, OpenAI APIs, Pinecone, FAISS) Familiarity with agentic AI workflows, prompt engineering, or RAG pipelines Experience building evaluation pipelines for ML and AI models Previous experience working in cross-functional environments and driving ML/AI projects from ideation to deployment Comfort using tools like Jupyter, Looker, GitHub, or cloud platforms (AWS, GCP)

Design and implement AI-powered product features Evaluate LLM and generative AI features Stay on top of emerging methods and tools in ML, deep learning, NLP, and agentic workflows Contribute to internal knowledge sharing Collaborate with stakeholders to frame analytical problems Translate ambiguous business challenges into data science projects Conduct exploratory data analysis (EDA) Work with Analytics Engineering and Data Engineering teams to source and validate data