Senior Data Scientist

vor 3 Wochen


Berlin, Deutschland Bolt Technology Vollzeit

**Some examples of real life projects we work on**:

- Balancing demand and supply through algorithmic pricing
- Optimising the potential investment portfolio over markets and product lines
- Processing documents at scale through computer vision and OCR
- Using recent traffic patterns for predicting accurate ETAs
- Inferring missing map elements using the GPS traces of our drivers
- A/B experimentation platform and agent-based simulation of cities
- User behavior pattern analysis and prediction
- 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**:

- Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, Spark, Redshift
- Solving real world problems using gradient boosted trees, uplift modelling, mathematical optimisation, time series forecasting, recommender systems, deep learning and more
- Translating business problems to technical specifications
- Handling the entire lifecycle from exploratory queries and notebook prototypes to a working machine learning model or other automation that might be serving thousands of calls per second in production
- Leveraging our in-house data and model platform that allow you to launch new projects in a matter of days
- Working in product feature teams together with data analysts, product managers and software engineers
- Discussing the problems and technical innovations within the broader data science team that provides a pool of peers and mentors
- Deploy and validate solutions for millions of users, enabling fast feedback and measurable added value to customers

**We are looking for**:
***:

- Industry experience in data science and machine learning (5+ years recommended)
- Awareness of both business and technical aspects of data science
- Experience in Python programming, including libraries like Pandas/Numpy/sklearn/OR-tools
- Experience writing complex SQL queries
- Understanding and practical experience with statistical hypothesis testing
- Proactive mindset, willingness to take initiative and work with little supervision
- Enthusiasm to collaborate with different roles in product, analytics and engineering to identify problems, explore trends and untap growth opportunities
- Strong verbal and written communication skills in English
- Track record of deploying models to production and measuring the impact

**You will get extra credits for**:

- Product development experience in a technology company
- Experience with experimentation or simulation
- Experience with causal inference from observational data
- Familiarity with any cloud systems (AWS, Azure, Google app engine)
- PhD, MSc or BSc in a quantitative field

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