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.

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Vacasa Demographics - All Company

Vacasa values diversity, inclusion & belonging for all, and is proud to be an Equal Employment Opportunity employer. We have been, and will continue to be, committed to creating a workplace that is as unique as the communities we serve. Hiring people with different backgrounds and experiences helps us stay innovative and not lose sight of what makes our business matter—relationships with our guests, homeowners, and each other.

We invite candidates to self-identify as to the categories below to assist us in evaluating whether we are reaching and attracting a diverse candidate pool. Submitting this information is entirely voluntary and your responses will be maintained securely. Your responses, or lack of response, will not be accessible to recruiters or hiring managers and will not otherwise be used in making hiring decisions.

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