Data Scientist mit Schwerpunkt auf Datenanalyse und Statistik mit klarer Kommunikation von Ergebnissen.
Aktualisiert am 29.05.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 29.05.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Data Scientist
Machine Learning
Statistik
R
SQL
BigQuery
Python
Causal Inference
Statistical Modeling
Time Series Analysis
Forecasting
Experimental Design
Stan
NumPyro
JAX
Price Optimization
Zeitreihenanalyse
Bayessche Statistik
PyMC
Polars
Demand Forecasting
Probabilistic Programming
Eye Tracking
German
Russian
English
Turkish

Einsatzorte

Einsatzorte

Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2022 - today: Led methodological development of pricing optimization models


Role: Senior Data Scientist

Customer: Pearson Ham Group


Tasks:

  • Orchestrated workflows to run pricing optimization at scale across up to 50k product?site combinations.
  • Owned end-to-end implementation of pricing optimization runs.
  • Communicated with non-technical stakeholders, and incorporated requirements into analytical workflows.
  • Mentored junior data scientists, reviewing code and providing guidance on statistical modeling, reproducibility, and analytical best practices.

2016 - 2021: Carried out statistical modeling


Role: Assistant Professor, Linguistics

Customer: Bo?gaziçi University, Istanbul


Tasks:

  • Carried out statistical modeling of dependency resolution processes in reading
  • Taught research methods and statistics courses
  • Conducted research on eye movements during reading
  • Managed an eye-tracking laboratory
  • Supervised the research of a number of students


2015 - 2021: various Projects


Role: Data Scientist


Tasks:

  • Implemented machine learning solutions that helped clients to make sense of data and to automatize forecasting processes.
  • Diverse list of clients from various industries, including consumer goods (Procter & Gamble), real estate (ImmoScout24), and energy (Utilifeed).
  • Projects with a wide range of objectives:
    • Sales forecasting with multilevel models
    • Energy consumption forecasting using quantile gradient boosting
    • Key customer group identification
    • Churn prediction using survival random forests
    • Discrete optimization using genetic algorithms
    • Statistical consulting

2008 - 2015: Research on mathematical models of cognition


Role: Researcher

Customer: University of Potsdam


Tasks:

  • Taught statistics and research methods, inter alia

Aus- und Weiterbildung

Aus- und Weiterbildung

6 Jahre
2009-01 - 2014-12

Cognitive Science

Promotion, Universität Potsdam
Promotion
Universität Potsdam
5 Jahre 3 Monate
2003-10 - 2008-12

Computerlinguistik

Diplom, Universität Potsdam
Diplom
Universität Potsdam

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Machine Learning Statistik R SQL BigQuery Python Causal Inference Statistical Modeling Time Series Analysis Forecasting Experimental Design Stan NumPyro JAX Price Optimization Zeitreihenanalyse Bayessche Statistik PyMC Polars Demand Forecasting Probabilistic Programming Eye Tracking

Schwerpunkte

Data Science
Experte
Statistik
Experte

Produkte / Standards / Erfahrungen / Methoden

SKILLS

  • Software Development
  • Bayesian Modeling & Probabilistic Programming
  • Price & Revenue Optimization
  • Data Analysis, Inference and Visualization
  • Machine Learning, Predictive Modeling, Feature Engineering
  • Time Series Modeling
  • Experimentation
  • Stakeholder Communication


TECHNICAL SKILLS

Packages

  • numpy
  • scipy
  • pandas
  • polars
  • ibis
  • optuna
  • scikit-learn
  • statsmodels
  • statsforecast
  • mlforecast
  • PyMC
  • NumPyro
  • tidyverse
  • ggplot2
  • H2O. ai


Miscellaneous Tools

  • Docker
  • Prefect
  • SQL
  • Git
  • LaTeX


Work Experience

2025 - today


Tasks:

Pricing Optimization App (Shopify)

  • Built and operated a pricing optimization app for Shopify merchants.
  • Developed demand, elasticity, and WTP models for sparse and cold-start products.


2024 - 2025


Tasks:

Inventory Planning App (Shopify)

  • Built and deployed an inventory planning and stock-out detection app for Shopify merchants.
  • Implemented demand forecasting and reorder logic; app later retired in favor of focusing on pricing products.

Betriebssysteme

Linux
Experte

Programmiersprachen

R
Experte
Python
Experte
C++
Fortgeschritten
SQL
Fortgeschritten
C
Perl
Stan

Branchen

Branchen

  • Consulting

  • Energie

  • Einzelhandel

Einsatzorte

Einsatzorte

Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2022 - today: Led methodological development of pricing optimization models


Role: Senior Data Scientist

Customer: Pearson Ham Group


Tasks:

  • Orchestrated workflows to run pricing optimization at scale across up to 50k product?site combinations.
  • Owned end-to-end implementation of pricing optimization runs.
  • Communicated with non-technical stakeholders, and incorporated requirements into analytical workflows.
  • Mentored junior data scientists, reviewing code and providing guidance on statistical modeling, reproducibility, and analytical best practices.

2016 - 2021: Carried out statistical modeling


Role: Assistant Professor, Linguistics

Customer: Bo?gaziçi University, Istanbul


Tasks:

  • Carried out statistical modeling of dependency resolution processes in reading
  • Taught research methods and statistics courses
  • Conducted research on eye movements during reading
  • Managed an eye-tracking laboratory
  • Supervised the research of a number of students


2015 - 2021: various Projects


Role: Data Scientist


Tasks:

  • Implemented machine learning solutions that helped clients to make sense of data and to automatize forecasting processes.
  • Diverse list of clients from various industries, including consumer goods (Procter & Gamble), real estate (ImmoScout24), and energy (Utilifeed).
  • Projects with a wide range of objectives:
    • Sales forecasting with multilevel models
    • Energy consumption forecasting using quantile gradient boosting
    • Key customer group identification
    • Churn prediction using survival random forests
    • Discrete optimization using genetic algorithms
    • Statistical consulting

2008 - 2015: Research on mathematical models of cognition


Role: Researcher

Customer: University of Potsdam


Tasks:

  • Taught statistics and research methods, inter alia

Aus- und Weiterbildung

Aus- und Weiterbildung

6 Jahre
2009-01 - 2014-12

Cognitive Science

Promotion, Universität Potsdam
Promotion
Universität Potsdam
5 Jahre 3 Monate
2003-10 - 2008-12

Computerlinguistik

Diplom, Universität Potsdam
Diplom
Universität Potsdam

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Machine Learning Statistik R SQL BigQuery Python Causal Inference Statistical Modeling Time Series Analysis Forecasting Experimental Design Stan NumPyro JAX Price Optimization Zeitreihenanalyse Bayessche Statistik PyMC Polars Demand Forecasting Probabilistic Programming Eye Tracking

Schwerpunkte

Data Science
Experte
Statistik
Experte

Produkte / Standards / Erfahrungen / Methoden

SKILLS

  • Software Development
  • Bayesian Modeling & Probabilistic Programming
  • Price & Revenue Optimization
  • Data Analysis, Inference and Visualization
  • Machine Learning, Predictive Modeling, Feature Engineering
  • Time Series Modeling
  • Experimentation
  • Stakeholder Communication


TECHNICAL SKILLS

Packages

  • numpy
  • scipy
  • pandas
  • polars
  • ibis
  • optuna
  • scikit-learn
  • statsmodels
  • statsforecast
  • mlforecast
  • PyMC
  • NumPyro
  • tidyverse
  • ggplot2
  • H2O. ai


Miscellaneous Tools

  • Docker
  • Prefect
  • SQL
  • Git
  • LaTeX


Work Experience

2025 - today


Tasks:

Pricing Optimization App (Shopify)

  • Built and operated a pricing optimization app for Shopify merchants.
  • Developed demand, elasticity, and WTP models for sparse and cold-start products.


2024 - 2025


Tasks:

Inventory Planning App (Shopify)

  • Built and deployed an inventory planning and stock-out detection app for Shopify merchants.
  • Implemented demand forecasting and reorder logic; app later retired in favor of focusing on pricing products.

Betriebssysteme

Linux
Experte

Programmiersprachen

R
Experte
Python
Experte
C++
Fortgeschritten
SQL
Fortgeschritten
C
Perl
Stan

Branchen

Branchen

  • Consulting

  • Energie

  • Einzelhandel

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