Data Scientist

Data Scientist

Employment Type: [Not Specified] Location Type: [Not Specified] Salary: [Not Specified]

Who We Are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

About the Team

At Typeform, the Data & Insights team’s charter is to make data actionable through multiple mediums—reports, dashboards, AI/ML-models—that help us fuel growth and drive efficiencies within our business. Within that charter, our Data Science practice focuses on building cutting-edge machine learning capabilities that help revolutionize how we leverage data and empower our customers to collect information in a conversational and personalized way.

About the Role

As a Data Scientist at Typeform, your mission will be to analyze data, build models, and prototype innovative AI features. You will partner closely with Product, R&D, and GTM teams to scope problems, explore data, and deliver ML-powered solutions that are both technically sound and business-relevant. This is a hands-on role with a strong mandate for innovation, experimentation, and delivering production-ready solutions that drive real impact.

Responsibilities

AI Feature Development & Evaluation:

• Partner with Engineering to design and implement AI-powered product features, applying best practices around model selection, system design, optimization, and monitoring.
• Evaluate LLM and generative AI features using both quantitative metrics and qualitative techniques—developing benchmarks, stress tests, and custom evaluation pipelines to ensure reliability and performance.

Innovation & Research:

• Stay on top of emerging methods and tools in ML, deep learning, NLP, and agentic workflows—bringing new ideas to the table and pushing the envelope of what’s possible.
• Contribute to internal knowledge sharing and cross-functional learning through documentation, demos, and collaborative experimentation.

Ideation & Scoping:

• Collaborate with stakeholders across R&D (Product, Engineering, Research, Design) and GTM to frame analytical problems, align on objectives, and define success metrics.
• Translate ambiguous business challenges into clearly scoped, feasible data science projects.

Data Exploration & Analysis:

• Conduct exploratory data analysis (EDA) to surface trends, patterns, outliers, and opportunities for impact.
• Work with Analytics Engineering and Data Engineering teams to source and validate high-quality data for model development.

Requirements

• 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.

Extra Awesome

• Experience with LLMs, embeddings, and vector search tools (e.g. LangChain, OpenAI APIs, Pinecone, FAISS).
• Familiarity with agentic AI workflows, prompt engineering, or RAG (Retrieval-Augmented Generation) 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).

Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences.