Why Vacasa

As a Data Science Team Lead at Vacasa, Prague you'll lead a newly emerging team which has an impact on maximizing company's revenue and efficiency. Vacasa's ML and Data Science initiatives span various areas, including dynamic pricing and probability models, with opportunities to explore recommender systems, NLP, and neural networks using extensive data resources.

Key Projects Prague AI team is working on:

Development and Enhancement of DS Platform: Spearhead the development and enhancement of our Data Science (DS) platform, which serves as the central hub for stakeholders and the Data Science team. This platform hosts all DS models in the form of APIs, ensuring accessibility and usability for all stakeholders.

Integration of GenAI and Dynamic Pricing Models: Lead the integration of GenAI models like chatting applications, document search, dynamic listings generation. Second major challenge is the Dynamic Pricing project. This integration involves not only incorporating the models into the production but also optimizing their code for maximum efficiency and performance. Particularly, the Dynamic Pricing project, characterized by its extensive data volume processing over 2.5 billion records daily.

What you'll do

Lead, mentor, and grow a team of Data Scientists Participate in Product Discovery sessions with key stakeholders Translate business requirements into concrete deliverables, and oversee their delivery Set clear, measurable goals for your team. Drive best practices through experimentation, tool selection, testing, tracking, and documentation.  Discover insights in our data that will improve performance of our business. Present results to stakeholders and executives as needed

Skills you'll need

Experience with leading a team, track record of delivering results and coaching individual team members Ability to navigate bigger organization with engineering spread across numerous time zones Excellent communication in English Ability to interact with business stakeholders Experience in dealing with large, semi-structured, raw data. Familiarity with Python, pandas, numpy, pytorch, scikit-learn, SQL, Apache Spark, or equivalent. Overview of modern generative AI and machine learning algorithms, including supervised, unsupervised, neural network, regression, and tree-based approaches. Familiarity with cloud service architecture (AWS, Azure, GCP) Familiarity with AWS tools such as SageMaker, EMR, Lambda, and Fargate a plus. Familiarity with Docker or other container systems is a plus Dynamic Pricing Experience is a plus 

What you’ll get

5 weeks of vacation 12 sick days  Meal allowance  Contribution for pension insurance Hybrid work and flexible working hours Fresh fruits and snacks in the office Employee Assistance Program Career development opportunities All the equipment you’ll need to be successful Modern offices in Prague - Karlín

 

Vacasa is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate against applicants based upon race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or other classes protected by applicable law. Veterans are encouraged.

Vacasa is committed to maintaining a safe and productive work environment. Possession, use, or being under the influence of alcohol or illegal drugs in the workplace is prohibited.

An offer of employment for this role will be contingent upon the successful completion of a background check and/or OFAC  screening.