Remote Principal Data Scientist

Description:

• As a Principal Data Scientist, you will work at the interface between mathematics, programming, and infrastructure.
• You will develop 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 will 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 will develop model validation (back-testing) methods to quantify the impact of our solutions on our clients' business.
• You will work with product management to generate ideas and quickly turn them into efficient, well-tested, working code, primarily using R and Python.
• In collaboration with the engineering team, you will contribute to the development of highly scalable solutions.
• You will act as a Data Science expert both within the company and for our customers, performing custom analytics and connecting to actionable business, inventory, and pricing strategies.
• You will prioritize the development of new features by evaluating potential impacts and act as a point of contact for data science-related questions about our product.

Requirements:

• You must have completed a full course of university or technical college education in (business) informatics, data science, mathematics, or a comparable qualification.
• You should possess core skills in linear algebra, hypothesis testing, Bayesian methods, regressions, maximum likelihood estimation, and both parametric and non-parametric estimation methods.
• You need to have 3+ years of hands-on experience with data analysis and the development of intelligent algorithms, ideally in the retail or consumer products industries.
• You must have experience analyzing large data sets and confidently applying appropriate analytics tools such as SQL, R, and Python.
• You should have experience with Big Data environments and NoSQL technologies like Spark, Hadoop, and Hive.
• You need to be independent and team-oriented, driving topics forward with reliability and conscientiousness.
• Fluency in English is required.

Benefits:

• You will receive a competitive salary and benefits.
• The position offers a multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.
• You will have the opportunity to work remotely with a dedicated and motivated team.
• The remote work environment is built on collaboration, flexibility, and respect.
• You will engage in varied and challenging work that will help you grow your technical skillset.