Senior Data Scientist

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 seeking a highly skilled Senior Data Scientist to spearhead the implementation of causal inference techniques. The ideal candidate will possess deep expertise in advanced statistical modeling and a proven track record of applying these methods to solve complex, real-world problems.

You could be a perfect match for the position if

You want to:

• Lead the integration and application of causal inference frameworks to derive actionable insights and drive data-driven decision-making.
• Design, develop, and deploy models utilizing Bayesian probabilistic programming, Reinforcement Learning (RL), or Causal Models.
• 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.

You have: 

• Strong knowledge and extensive hands-on experience with at least one of the following:
  - Bayesian Models and Probabilistic Programming (e.g., PyMC, Stan, TensorFlow Probability).
  - Reinforcement Learning (RL) Models.
  - Causal Models and causal inference frameworks.
• 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 +.

Soft skills:

• 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.
  

You’re gonna love it, and here’s why:

• 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.