Senior Data Scientist

This role is part of a team that works in a hybrid model, based in Bucharest. However, if the ideal candidate is located in another city, we are open to a remote collaboration.

Come join our team!

Druid AI is an end-to-end platform for building, deploying, and scaling AI agents and Conversational Business Applications (CBA), designed to deliver next-level employee productivity and the total customer experience in the most intuitive way. Acting as a front layer to all digital operations, DRUID unifies and enhances the existing technology landscape while mitigating app fatigue.

With a 2x growth year over year, 160+ partners and 250+ clients worldwide, DRUID AI actively builds on its vision to provide employees with an intelligent virtual assistant that helps people work easier and faster.

What you’ll do at DRUID

• Come up with good architectural designs, quality code, and break an ambitious long-term vision down into milestones and issues
• Apply techniques and methods for improving machine learning intent recognition, interpretability and explainability, sentiment detection, and several other interesting ML models
• Utilize code (Python or similar) for analyzing data and building statistical and machine learning models and algorithms
• Leverage machine learning methodologies in developing and testing new models, running computational experiments and perform hyperparameter tuning
• Formalize assumptions about how models are expected to behave, creating definitions of outliers and developing methods to systematically identify these outliers
• Develop ablation tests for the proving of machine learning models
• Collaborate with back-end engineers to understand the raw data being collected
• Collaborate with front-end engineers to create data visualizations for both external and internal customers
• Collaborate with ML engineers to help move models from laboratory to production
• Present results of various data analysis

What you’ll bring to DRUID

• Master preferred, advanced degree and/or industry experience in a quantitative field such as Data Science, Statistics, Machine Learning, Applied Mathematics, Computer Science
• 5+ years of relevant working experience in an analytical role involving data extraction, analysis and statistical modeling
• Strong fundamentals in data structures, problem solving, algorithm design, and complexity analysis
• Experience with Azure and cloud computing for Machine Learning
• Familiar with common machine learning, deep learning frameworks
• Proficiency using Python, PyTorch, TensorFlow
• Expertise on NLP/NLU/NLG field
• Ability and motivation to self-teach while entering new domains and managing through ambiguity
• Ability to communicate effectively with technical developers and non-technical marketing business partners