Hi!
We are seeking a seasoned Data Science Expert to head our yield management and price optimization efforts in the event industry. This role focuses on leveraging predictive analytics and data science to boost revenue optimization through dynamic ticket pricing and demand forecasting strategies. You will analyze a variety of data sources, including web, customer, transactional, and social data, to effectively predict demand and implement pricing strategies throughout the sales cycle. The ultimate goal is to maximize revenue by optimizing ticket allocation across different pricing tiers and adjusting prices based on real-time sales data.
Location: Remote from Poland
Rate: b2b: 185 - 190 PLN netto+vat/h
Key Responsibilities:
- Identify critical predictors of event success by analyzing web, customer, transactional, and social data.
- Collaborate with data engineers to develop and maintain robust data pipelines.
- Design and refine algorithmic models for:
- Demand forecasting and revenue prediction for events.
- Dynamic pricing optimization to maximize revenue during sales periods.
- Efficient inventory allocation across various pricing categories.
- Private medical care
- Free drinks
- Gym membership
- Remote work possible
- Life insurance
- Office parties
- Language courses
- Shower
- Flexible working hours
Essential Skills and Experience:
- Minimum 5 years of experience in a similar data science role.
- Extensive experience in developing and applying algorithmic pricing models.
- Advanced proficiency in SQL and Python for complex data handling and model development.
- Strong background in predictive modeling and demand forecasting.
- Fluency in English is required.
Desirable Skills:
- German language skills are considered an advantage.
- Demonstrated expertise in dynamic pricing models, demand forecasting, and inventory allocation across various business sectors.
- Proven ability to build and deploy forecasting models for large datasets, including time-series data.
- Experience in establishing and managing live data pipelines and real-time model operations, with familiarity in cloud platforms like AWS and tools such as Docker.
- Cross-industry knowledge in sectors such as e-commerce, automotive, or subscription services, and understanding of customer lifecycle models like churn prediction and customer lifetime value (CLV).
- Leadership and stakeholder management skills, with experience mentoring junior data scientists, conducting technical interviews, and presenting data science insights to stakeholders at all levels, including executives.
Crestt
200
Istniejemy od 2017 roku i od początku zajmujemy się rozwojem rozwiązań IT. Tworzymy systemy CRM i Campaign Management, specjalizujemy się w analityce biznesowej, Business Process Mining oraz Business Intelligence. Działamy w dwóch obszarach: realizacja własnych produktów oraz współpraca z klientami w oparciu o outsourcing.
Crestt to firma, która wyznaje takie wartości jak partnerstwo, współpraca, rzetelność. Praca w Crestt to przede wszystkim teamwork – jesteśmy zespołem specjalistów, którzy dbają o rodzinną atmosferę i wiedzą jak współpraca jest ważnym elementem zawodowej rzeczywistości. Wspólnie podejmujemy decyzje, każdy w Crestt jest tak samo ważny. Kochamy zwierzęta! Są one częścią naszych zespołów, zawsze chętnie powitamy również Twojego pupila!
Jakie benefity oferujemy?
- Płaska struktura organizacyjna
- Nieformalna atmosfera
- Możliwość dostosowania projektów do kompetencji pracownika
- Stałe wsparcie psychologa
- Liczne webinary
- Prywatna opieka medyczna „Medicover”
- Multisport
- Spotkania integracyjne
- Atrakcyjny program poleceń
- Szkolenia
- Elastyczny czas pracy
- Świętujemy z Tobą każdą ważną okazję!