Data Scientist

Germany

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Customer Feedback, Data CollectionIndustries

Requirements

Candidates should have 3-5+ years of experience in data science, ML, or applied statistics within a B2B SaaS environment, with experience collaborating with Product, Engineering, or Marketing teams to ship user-facing AI features or data products. Strong programming skills in Python and experience with ML libraries like scikit-learn, XGBoost, PyTorch, or TensorFlow are required, along with demonstrated ability to design, train, and validate models using structured and unstructured data, and strong analytical skills with experience in large datasets using SQL, Pandas, and other data tools. Experience with LLMs, embeddings, vector search tools, agentic AI workflows, prompt engineering, RAG pipelines, building evaluation pipelines for ML/AI models, and familiarity with tools like Jupyter, Looker, GitHub, or cloud platforms (AWS, GCP) are considered a plus.

Responsibilities

The Data Scientist will analyze data, build models, and prototype innovative AI features, partnering closely with Product, R&D, and GTM teams to scope problems, explore data, and deliver ML-powered solutions. This includes designing and implementing AI-powered product features with Engineering, evaluating LLM and generative AI features using quantitative and qualitative techniques, and developing benchmarks and evaluation pipelines. The role involves staying updated on ML, deep learning, NLP, and agentic workflows, contributing to knowledge sharing, collaborating with stakeholders to frame analytical problems and define success metrics, translating business challenges into data science projects, conducting exploratory data analysis, and working with data engineering teams to source and validate data for model development.

Skills

Machine Learning

Deep Learning

NLP

Data Analysis

Model Building

AI Feature Development

LLM Evaluation

Generative AI

Quantitative Metrics

Qualitative Techniques

Benchmarking

Stress Testing

Evaluation Pipelines

Agentic Workflows

Typeform

Creates user-friendly online forms and surveys

About Typeform

Typeform creates online forms and surveys that are easy to use and engaging. Their products include form builders, survey makers, quiz creators, and the VideoAsk tool for interactive video conversations. These tools help businesses collect and analyze data effectively, leading to better response rates and more meaningful insights. Typeform serves a wide range of industries, including automotive, healthcare, education, and marketing, catering to various roles like marketing and human resources. Unlike many competitors, Typeform focuses on user engagement and simplicity in design. Their goal is to help clients maximize data collection and analysis through a subscription-based model, offering different pricing tiers to accommodate businesses of all sizes.

Barcelona, SpainHeadquarters

2012Year Founded

$181.9MTotal Funding

SERIES_CCompany Stage

Consumer Software, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Performance Bonus

Risks

Increased competition from AI-powered form builders like Jotform and Google Forms.

Privacy concerns may hinder Typeform's data collection capabilities.

Economic downturns could impact Typeform's subscription-based revenue model.

Differentiation

Typeform offers a unique blend of form-building and interactive video solutions.

The platform integrates seamlessly with tools like HubSpot, Calendly, and Slack.

Typeform's focus on human-centric design enhances user engagement and data collection.

Upsides

The rise of zero-party data collection aligns with Typeform's personalized data strategies.

Interactive video content is gaining popularity, benefiting Typeform's VideoAsk tool.

Remote work trends boost demand for Typeform's digital collaboration and data collection tools.

Land your dream remote job 3x faster with AI

Try Jobo Free