Data Scientist, Parloa

• 3+ years of experience as a Data Scientist
• Experience developing and owning production ML models and systems. Experience with LLMs, NLP, or information retrieval is a strong plus
• Proficiency in Python and experience with using using Python in production
• Experience working with big data technologies (e.g. Spark) and using ML Ops platforms (e.g. MLFlow)
• Experience in leading small-sized technical projects (1-2 months roadmap)
• Strong spoken and written communication skills in English

• As a Data Scientist, you will evaluate and improve the performance of our AI Agents
• This will involve developing evaluation tasks for agent behaviour, fine-tuning foundation models, researching and prototyping new AI Agent features and frameworks, and investigating issues affecting our customers
• You’ll develop a deep understanding of the behaviour of our models and AI Agents
• You’ll work directly with product engineering and sales teams, leading by example on evaluating and improving our product - from testing new AI system optimisation frameworks to fine-tuning STT models on new languages and accents
• You’ll join the AI & Data Science Team, a collaborative group of Machine Learning Engineers and Data Scientists that own Parloa’s ML Evaluation Platform and the machine learning models that power our product
• The team is responsible for keeping Parloa at the forefront of research and development of Generative AI and AI Agent based products
• Take ownership of data science and machine learning projects that help us improve our generative AI product suite
• Develop and evaluate production Agentic AI systems for real customer use cases
• Directly support and collaborate with product engineering and sales, analyzing the performance of our AI products and prototyping new features
• Evaluate and train or fine-tune a variety of models, including LLMs, intent classification, STT, and TTS models
• Execute Machine Learning research and development projects end-to-end, rapidly turning new ideas into customer facing features
• Our Tech stack (AI & Data): Python, OpenAI, LangGraph, SQL, Microsoft Azure, Kubernetes, Terraform, Docker, MongoDB, MySQL, Redis, Eventhubs (Kafka), PostHog, Databricks, DeltaLiveTables, Preset

• Recruiter video call
• Hiring Manager Interview
• Technical Stage 1 (Data Science Coding Session)
• Technical Stage 2 (Machine Learning Case Study)
• Meeting the team

• Opportunity to build and scale your career at the intersection between sales and product in a dynamic and growing startup on its journey to become the international leader in SaaS platforms for Conversational AI
• Be part of a dynamic, driven and international team with flat hierarchies and collaborative company culture and set new industry standards in customer communication
• Competitive salary
• Training and development budgets which can be used for conferences, attending development courses to ensure continuous professional growth
• Flexible working hours and possibility to take additional vacation days
• A great company culture with regular team events, games night or other social activities
• And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks

Total funding: $93.2m

There is an inherent lack of efficiency in many call centres. This not only creates irritation for customers and negative experiences for agents but, as a result, it harms a company’s reputation whilst generating high costs for businesses.