S-PRO, a top-tier Digital Innovation and Software Engineering company. We specialise in providing cutting-edge services for fast-growing businesses and enterprises, with a strong focus on Finance, Renewable Energy and Healthcare domains and expertise in AI, Blockchain and Data Science. Our team of over 200 dedicated professionals works tirelessly across our global offices to develop innovative digital solutions that drive sustainable business value and increase our client’s competitiveness in a dynamic digital landscape.
Project Overview We are looking for an experienced Data Scientist to join our team and lead the development of a revenue optimization system for a major cinema network with over 100 locations. The project aims to build data-driven models to optimize ticket pricing, movie scheduling, and promotional strategies across diverse regions and audience segments. The final solution will deliver actionable insights via interactive dashboards and automated reports, helping business stakeholders make real-time decisions to maximize occupancy and revenue.
Responsibilities: * Conduct deep exploratory data analysis on historical ticket sales, movie schedules, attendance trends, and promotional campaigns. * Build robust pricing models and demand forecasting tools considering time, location, movie type, holidays, and social media buzz. * Develop optimization algorithms for showtime scheduling across multiple screens and locations. * Analyze promotional campaign effectiveness and build attribution models to optimize future marketing spend. * Engineer relevant features from transactional, demographic, and behavioral data. * Create initial PoC models and pipelines for pricing, scheduling, and promotions optimization. * Collaborate with business and operations teams to define KPIs and translate business challenges into modeling tasks. * Deliver interactive dashboards (Streamlit or similar) and reports to visualize model outputs and business insights. * Document the model logic, assumptions, and performance for both technical and non-technical audiences.
Requirements: * 3+ years of experience in Data Science roles with a proven track record of implementing production-level ML solutions. * Uplift modelling * Strong Python programming (Pandas, NumPy, scikit-learn, XGBoost, Pyomo/OR-Tools for optimization). * Experience in pricing strategies, time series forecasting, or operations research. * Solid SQL skills for data extraction, transformation, and aggregation. * Understanding of consumer behavior analytics and A/B testing methods. * Experience with interactive data visualization tools (Plotly, Dash, Streamlit). * Ability to quickly build and iterate on PoC solutions to validate ideas and showcase value. * Mathematical background * Applied statistics
Nice to Have: * Experience with optimization in ticketing, entertainment, or retail industries. * Familiarity with causal inference techniques and marketing mix models. * Exposure to deployment tools (Docker, Airflow) and cloud data platforms (e.g., BigQuery, Snowflake). * Ability to work across teams and present to stakeholders with different technical backgrounds
What we offer: * Long team focus: we create an environment of transparent communication, and minimal bureaucracy, which leads to long-term relationships. * Development of niche expertise: we are working in several niches, such as FinTech, healthcare, and logistics. Therefore, our employees can develop their own expertise in these domains. * Continuous learning: we create employee development plans / personal roadmaps /quick promotion processes. * Internal career development: 80% of our current executives were promoted to those positions within S-PRO. We encourage initiative. If a person wants to set new challenges and grow, we will definitely support them.
Benefits and perks: * Flexible schedule. * Remote work model. * Medical insurance * Paid vacations * Paid Sick-leaves. * Paid State holidays.
