Data Scientist
Posted 8
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Summary
Strong Middle Data Scientist at Competera, an AI-driven retail pricing platform. You'll analyze retail data, maintain and tune existing models, prototype new demand-forecasting approaches, and own end-to-end solution delivery for new clients, using Python (NumPy, pandas, scikit-learn, CatBoost/LightGBM, TensorFlow/PyTorch) and SQL.
In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now looking for a Strong Middle Data Scientist to play a key role in reshaping the way we provide our solutions.
You could be a perfect match for the position if
You want to:
You could be a perfect match for the position if
You want to:
- Analyze retail data to find patterns and derive insights for data-aware pricing strategies.
- Maintain, tune and improve existing models, investigate model performance issues and identify their root causes.
- Design and validate (proof-of-concept) POC for new modeling approaches, challenging existing assumptions when needed.
- Own complex SnD Data science solution implementation for new clients end-to-end: validate business requirements and data, map requirements to existing tools and functionalities, develop and evaluate models and bring the solution into production.
- Research, prototype and evaluate modelling approaches for new domains and challenging cases such as sparse demand, promotions and changing sales patterns.
- Collaborate with Data Scientists, Engineers, Product/Project Managers and domain experts to improve and bring to production new approaches of demand modeling.
- 3+ years of commercial experience in Data Science/Machine Learning or related field.
- Solid mathematical background preferably in Computer Science, Mathematics, Statistics or another quantitative field.
- Strong knowledge of statistics, classical machine learning, deep learning methods and commonly used forecasting approaches.
- Practical experience with time series forecasting methodologies.
- Proficiency in scientific Python toolkit including NumPy, pandas, scikit-learn, gradient-boosting frameworks such as CatBoost/LightGBM and either Keras/TensorFlow or PyTorch.
- Experience with statistical hypothesis testing and experimental design, including A/B testing.
- Advanced SQL skills for data manipulation and extraction.
- Strong Python skills and experience writing clean, modular, maintainable code for prototyping and performing experiments.
- English sufficient for technical discussions, documentation, and collaboration in international environment (Upper-intermediate and higher level).
- Experience in retail, e-commerce, pricing, revenue management or marketplaces.
- Experience working with large datasets and distributed processing tools such as. Pyspark/Spark/Databricks.
- Analytical mindset and critical thinking to solve complex problems.
- Strong ownership: you take responsibility for problems end-to-end, proactively drive them forward and stay accountable for the quality and impact of the final solution
- Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment.
- Business-oriented thinking, capable of translating complex models into clear business insights.
- Curiosity and a drive for continuous learning in the data domain.
- Strong team player, able to collaborate across cross-functional teams.
- Rich innovative software stack, freedom to choose the best suitable technologies.
- Remote-first ideology: freedom to operate from the home office or any suitable coworking.
- Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
- Regular performance and compensation reviews.
- Recurrent 1-1s and measurable OKRs.
- In-depth onboarding with a clear success track.
- Competera covers 70% of your training/course fee.
- 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
- 20 business days of sick leave.
- We reimburse the cost of coworking.