Position: Data Scientist for Business Intelligence Project
Company: FlexMade
Experience required: 3y
English level: upper

Experience:

- Linear algebra, hypothesis testing, Bayesian methods, regressions, maximum likelihood estimation, regressions, parametric and non-parametric estimation methods
- Several years of Hands-on experience with data analysis and the development of intelligent algorithms, ideally in the retail or consumer products industries
- Experience analyzing large data sets and confidently applying appropriate analytics tools (e.g., SQL, R, Python)
- Experience with Big Data environments and NoSQL (e.g. Spark, Hadoop, Hive)
- Independent and team-oriented, you drive topics forward and convince with reliability and conscientiousness

Language requirements:
English (Upper-intermediate)


Responsibilities:

- Developing mathematical models in the area of machine learning and statistical learning that describe the effects of prices and promotions on purchasing behavior, including behavioral price effects
- You are able to find and apply a middle ground between the use of flexible modern AI methods and proven classical methods
- You will develop systems for optimization and "experimental design" that find the best strategies for each product
- To ensure the accuracy of our models, you develop model validation (back-testing) methods to quantify the impact of our solutions on our clients' business
- You work with product management to generate ideas and quickly turn them into efficient, well-tested, working code (in the Data Science area, we mainly use R and Python)
- In collaboration with the engineering team, you contribute to the development of highly scalable solutions.
- You act as a Data Science expert both within afford and for our customers. This includes: performing custom analytics and connecting to actionable business, inventory, and pricing strategies
- Prioritizing the development of new features by evaluating potential impacts
- You will act as a point of contact for data science-related questions about our product

Benefits:

- Regular challenges, education, and knowledge exchange to make you even better than you are
- Enthusiastic and supportive team
- Open and constructive working culture in a dynamic and fast-growing environment
- Life does not always have a schedule. Don’t worry, we’re very flexible when it comes to working hours!