Senior Data Scientist

SR2 | Socially Responsible Recruitment | Certified B Corporation; Köln; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading recruitment firm is searching for a Senior Data Scientist to enhance their retail client’s team in Germany. This role sits at the intersection of programming, data, and mathematics, crucial for building big data architectures. Candidates should possess strong mathematical foundations, experience with programming languages like Python and R, and a background in statistics and data science. The position offers an opportunity to collaborate with product management and engineering teams to transform ideas into scalable solutions.

Qualifikationen

• Proficient in multivariable calculus and linear algebra.
• Adept in probability, regression models, and hypothesis testing.
• Familiar with unit testing frameworks.

Aufgaben

• Create mathematical models in machine learning and statistical learning.
• Develop systems for optimization and experiment planning.
• Implement model validation methods.

Kenntnisse

Mathematics

Statistics

Software development

Ausbildung

Degree in Computer Science

Degree in Data Science

Degree in Mathematics

Degree in Statistics

Degree in Physics

Degree in Economics

Tools

Python

R

Numpy

Pandas

Matplotlib

Statsmodels

PySpark

Jobbeschreibung

My client in the retail domain are currently searching for a Senior Data Scientist to join their team in Germany.

As a Data Scientist, you'll operate at the intersection of mathematics, programming, and infrastructure. You will play a pivotal role in constructing robust big data architectures and devising the most fitting algorithms.

Your Responsibilities

• Create mathematical models in machine learning and statistical learning
• Find the sweet spot between modern AI techniques and tried-and-true classic methods, ensuring flexibility and efficiency.
• Develop systems for optimization and "experiment planning" that uncover optimal strategies for each product.
• Implement model validation (backtesting) methods to quantify the impact of our solutions on our clients' businesses, ensuring precision.
• Collaborate closely with product management, swiftly transforming ideas into efficient, well-tested code (primarily using R and Python).
• Contribute to the development of highly scalable solutions in collaboration with our engineering team.

Skills Required :

• A degree in either computer science, data science, mathematics, statistics, physics, or economics or a comparable field
• Proficiency in mathematics, including multivariable calculus and linear algebra
• Adeptness in statistics, covering probability, regression models, and hypothesis testing
• Software development using python, preferably in cloud-based environments
• Familiarity with libraries like Numpy, Pandas, Matplotlib, and Statsmodels; PySpark familiarity is a plus
• Familiarity with unit testing frameworks