Data Scientist
vor 1 Woche
**Some examples of real life projects we work on**:
- 1. Time series forecasts of product prices and demand, incorporating macroeconomic indicators and market trends
- 2. Analysis and implementation of pricing strategies based on consumer behavior, competition, and market conditions
- 3. Causal inference studies to evaluate the impact of pricing changes on sales, revenue, and profitability
- 4. Development of structural models to simulate and optimize pricing decisions under various scenarios and constraints
- 5. Assessing the influence of external factors - such as economic cycles, regulations, or special events - on pricing and business performance
- Please note that _
**_Berlin_**:
- is a tech-hub where we are hiring locally only, and Bolt will not support your relocation to _
**_Berlin_**:
- . However, relocation to Tallinn (our HQ) will be supported. See the relocation support we are providing _
- here_
- ._
- If this role is interesting to you, and you're currently located outside of _
**_Berlin_**:
- , please consider this role in Tallinn, Estonia instead._
**Your daily adventures will include**:
Develop and maintain predictive models to optimize pricing strategies across different business verticals
- Collaborate with cross-functional teams responsible for dynamic pricing and incentives to develop and refine pricing strategies, while assessing their impact on overall business performance
- Communicate and present results to product and business stakeholders
**We are looking for**:
***:
***:
- Industry experience in pricing strategy, econometrics, or finance (3+ years recommended)
- Proactive mindset, willingness to take initiative and work with little supervision
- Open to collaboration team player with effective communication skills
- Experience in practical econometric or machine learning techniques: time series analysis, causal inference, structural models, etc.
- Experience writing complex SQL queries
- Track record of deploying models to production and measuring the impact
**You will get extra credits for**:
- Experience with advanced time series forecasting methods and reinforcement learning methods
- PhD in Economics, Econometrics, Finance, or related quantitative fields, or a Master's degree with equivalent industry experience
- Background in causal inference, operations research, or quantitative analysis of consumer behavior
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