Data Scientist - Berlin, Deutschland - Bolt Technology

Bolt Technology

Geprüftes Unternehmen

Berlin, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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 crossfunctional 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

LI-Hybrid