Data Scientist
Axel Springer
Schlagwörter
Machine Learning
Statistiken
Python
Mathematische Modellierung
Data Science
Algorithmus-Entwurf
Angewandte Mathematik
Clusteranalyse
Projektplanung
Drug Discovery
Skills
Data Science and Machine Learning
Extensive experience in developing machine learning algorithms, deploying data pipelines, and applying mathematical modeling to complex problems.
Project Management
Skilled in project planning, timeline development, and supervision of data science pipelines, including experience with drug discovery initiatives and open-source software packages.
Applied Mathematics
Proficient in using Python for numerical simulations and mathematical modeling of dynamical systems, particularly relevant to finance, risk analysis, and the pharmaceutical industry.
Programming Languages
Expertise in Python (8+ years), Fortran (2+ years), Mathematica (1+ years), and SQL (1+ year). Proficient with libraries such as NumPy, SciPy, Pandas, Scikit-learn, PyMC, Matplotlib, Keras, seaborn, pyspark, Statsmodel, and jellyfish.
Statistical Analysis
Competent in power analysis, survival analysis, time series, hypothesis testing, statistical inference, Bayesian inference and estimation, and imprecise probability methods.
Machine Learning Techniques
Skilled in logistic regression, RF, SVM, decision trees, hierarchical clustering, matrix factorization, and Naive Bayes.
Feature Engineering
Proficient in feature optimization, dimensionality reduction, manifold learning, particle swarm optimization, and genetic algorithms.
Algorithm Design
Experienced in designing classification pipelines, supervised learning pipelines, and optimization algorithms.
Extensive experience in developing machine learning algorithms, deploying data pipelines, and applying mathematical modeling to complex problems.
Project Management
Skilled in project planning, timeline development, and supervision of data science pipelines, including experience with drug discovery initiatives and open-source software packages.
Applied Mathematics
Proficient in using Python for numerical simulations and mathematical modeling of dynamical systems, particularly relevant to finance, risk analysis, and the pharmaceutical industry.
Programming Languages
Expertise in Python (8+ years), Fortran (2+ years), Mathematica (1+ years), and SQL (1+ year). Proficient with libraries such as NumPy, SciPy, Pandas, Scikit-learn, PyMC, Matplotlib, Keras, seaborn, pyspark, Statsmodel, and jellyfish.
Statistical Analysis
Competent in power analysis, survival analysis, time series, hypothesis testing, statistical inference, Bayesian inference and estimation, and imprecise probability methods.
Machine Learning Techniques
Skilled in logistic regression, RF, SVM, decision trees, hierarchical clustering, matrix factorization, and Naive Bayes.
Feature Engineering
Proficient in feature optimization, dimensionality reduction, manifold learning, particle swarm optimization, and genetic algorithms.
Algorithm Design
Experienced in designing classification pipelines, supervised learning pipelines, and optimization algorithms.
Projekthistorie
04/2022
-
04/2024
Designed and implemented 7 pipelines and automated 6 others to optimize newspaper production and distribution. Provided strategic oversight and guidance in technical project management.
11/2019
-
10/2021
Data Scientist
Immunx
Built 3 data pipelines from scratch for analytics and machine learning in drug discovery, forming a core feature of the product platform.
02/2016
-
12/2018
Applied Mathematician and Physicist
TU Berlin
Deployed Python algorithms to solve mathematical equations in quantum networks, worked on mathematical derivations and numerical computations for quantum network systems.
Reisebereitschaft
Verfügbar in den Ländern
Deutschland
