Remote job
Remote confirmed(Junior) Data Scientist
Quantilope
Key points from the posting
- Tech stack
- PythonPydantic AIFastAPIPydanticPytestPandasNumPyscikit-learnAzure OpenAIAnthropicLangfuseinspect-ai
- Seniority:
- Junior
- Languages:
- English
Read out of the job posting automatically
Our assessment
- Our reading of the full posting text confirms it: fully remote.
This section only: calculated automatically by nomado24, from our own job index and our own reading of the posting text. Not stated by the employer.
Job description
Introduction:
At quantilope, we're transforming how the world's biggest brands understand their customers. As a (Junior) Data Scientist, you'll collaborate closely with Product Managers, Product Designers, and Software Engineers to build and evolve our AI-powered consumer insights platform. From developing agentic AI assistants and advanced analytics to creating innovative research tools usable by non-technical users — you'll be at the heart of scaling a sophisticated platform that puts automated, AI-powered insights into the hands of researchers and brands worldwide.
We are looking for a (Junior) Data Scientist who delivers production-grade results to high standards, who combines a passion for the latest AI technologies with the engineering discipline to ship them reliably, and who brings analytical and creative problem-solving to new challenges.
What you will be doing:
- You design and build agentic AI systems using frameworks like Pydantic AI, including tool registries, prompt engineering, grounding strategies, and orchestration of LLM-based workflows across multiple AI-powered products
- You closely collaborate with cross-functional teams to understand business requirements, translate them into technical specifications, and work with engineers to integrate AI and Data Science features into our platform
- You automate data analytics and insights visualizations that are applicable and interpretable by non-technical users, helping researchers and brand managers work with advanced methods without needing technical expertise
- You automate the application of advanced market research methods that are easy to use while being statistically and scientifically valid
- You build and ship machine learning models (supervised, unsupervised, LLM-based) end-to-end — from prototyping and training to production deployment in our platform
- You contribute to our AI observability and evaluation practices, working with tools like Langfuse and inspect-ai to monitor, trace, and continuously improve our AI systems in production
- You stay up-to-date with the latest advancements in AI, LLMs, and agentic architectures, incorporate them into your work, and proactively share insights and opportunities with colleagues
Who you are:
- You have a university degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, Economics or a related relevant field
- You have at least one year of professional experience in Data Science and AI building production-grade products
- You have production-level experience building agentic AI systems or LLM-powered applications, including prompt engineering, tool-use patterns, retrieval-augmented generation (RAG), or similar approaches
- You have strong programming skills in Python and proficiency with relevant frameworks and libraries (e.g., FastAPI, Pydantic/Pydantic AI, Pytest, Pandas, NumPy, scikit-learn) as well as experience with LLM integration (Azure OpenAI, Anthropic, or similar providers)
- You have experience in the software industry including delivering high-quality, scalable services via APIs to production
- You write clean, well-tested, and maintainable code — you're comfortable working in a professional codebase with code reviews, automated testing (e.g., Pytest), and CI/CD practices
- You are an excellent and creative problem solver who is comfortable with ambiguity and change and who is curious to learn new tools, technologies, and domains
- You are fluent in English with excellent communication skills — including the ability to explain complex technical concepts to non-technical audiences and to work effectively in cross-functional teams
Nice to have:
- Familiarity with cloud-based infrastructure for software deployment (Kubernetes, Helm) and AI observability tooling (Langfuse, LLM tracing)
- Experience in or passion for the area of market research, marketing, or consumer insights
Benefits of working at quantilope:
- Flexible work environment: With flexible PTO, flexible working hours and remote/hybrid opportunities, we believe you can succeed from anywhere. Did we mention that everyone has the opportunity to work abroad for up to 6 weeks per year?
- Ongoing learning: With our dedicated learning budget for every employee and company-wide workshops with the best in the biz, we believe in providing our employees with all the tools they need to excel.
- Wellness is key: We offer Private Health Insurance & Pension plan options as well as the support of certified mental health first aiders. We also have Quantiwell days which are global mental health days twice a year where the whole company takes a day for themselves.
- Diverse & inclusive community: Our team spans the globe, driving diverse ways of working and thinking. With the help of an incredible Community Committee, we are committed to advancing education and awareness.
- Team bonding: Team offsites, summer and holiday parties? We’re all working hard and know how important it is to have …
This role is provided by an external source. Applications are handled on the source website.
