Competera Pricing Platform
Dynamic Pricing • Price Analysis • Price Optimization • Price Intelligence • Price Monitoring
Senior Data Scientist
March 15
Competera Pricing Platform
Dynamic Pricing • Price Analysis • Price Optimization • Price Intelligence • Price Monitoring
Description
• Analyze retail data to derive insights and inform pricing strategies • Develop prototypes of algorithms for pricing and demand prediction • Test and monitor algorithm performance, iterating as necessary • Actively participate in product development, including engagement in discovery calls with end users and collaboration with UX/UI teams • Communicate developed algorithms effectively to business stakeholders • Collaborate closely with a small cross-functional team consisting of a Software Engineer (SE), Product Manager, and fellow Data Scientist (DS) to iterate rapidly on product development in an agile startup-like environment • Work closely with the Product Manager to ensure that the pricing solution meets the needs of SMB sellers while aligning with the overall product vision and strategy • Take ownership of specific features or components within the pricing solution, from conception to implementation and deployment • Stay informed about the latest developments and best practices in pricing optimization, data science, and relevant domains to continuously improve the product and enhance its competitiveness in the market
Requirements
• Minimum 5 years of experience in data science or related field • Proficiency in SQL for data manipulation and extraction • Strong Python skills, capable of writing modular and readable code for experiments and prototypes • Solid mathematical background, preferably in a Computer Science-related field • Proficiency in scientific Python toolkit including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch • Familiarity with Time Series Forecasting approaches • Experience in statistical testing methodologies, including A/B testing • Experience working with tabular and mixed (multimodal) data (e.g., tabular data combined with text, audio, or images) for at least 3 years • English - upper-intermediate • Experience in retail or marketing domains • Knowledge and experience with Probabilistic Programming and PPL frameworks such as PyMC3, Pyro, or TensorFlow Probability • Understanding of Causal Inference approaches including Graph models, SCM, or Causality Ledger • Analytical mindset and strong critical thinking abilities • Agile approach, with the ability to experiment and test hypotheses in an unstable business environment • Business-oriented mindset, able to translate complex models into simple business language • Excellent presentation skills, capable of communicating complex ideas effectively • Curiosity and a commitment to continuous learning within the domain • Strong team player • Adaptability • Proactive communication • Resilience • Customer empathy: Understanding of the unique needs and pain points of SMB sellers in marketplaces, with a commitment to delivering solutions that address their specific challenges and drive tangible business value
Benefits
• 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 • Partial medical insurance coverage • We reimburse the cost of coworking • Drive innovations with us • Be a Competerian
Apply Now