Jens Daube - Product Owner & Senior Data Scientist

Q: Where is Jens based?

Jens is based in Frankfurt, Germany and can operate in on-site , hybrid , and remote work models.

Q: What languages does Jens speak?

Jens speaks the following languages: German (Native), English (Advanced) .

Q: How many years of experience does Jens have?

Jens has at least 9 years of experience. During this time, Jens has worked in at least 6 different roles and for 10 different companies . The average length of individual experience is 1 year and 9 months . Note that Jens may not have shared all experience and actually has more experience.

Q: What is Jens's latest experience?

Jens's most recent position is Product Owner & Senior Data Scientist at Legal Tech .

Q: What companies has Jens worked for in recent years?

In recent years, Jens has worked for Legal Tech , Central Bank , Financial Regulatory Authority , Public Authority , and Beverage Manufacturer .

Q: Which industries is Jens most experienced in?

Jens is most experienced in industries like Banking and Finance , Information Technology (IT) , and Professional Services . Jens also has some experience in Government and Public Administration , Food and Beverage , and Automotive .

Q: Which business areas is Jens most experienced in?

Jens is most experienced in business areas like Information Technology (IT) , Business Intelligence , and Project Management . Jens also has some experience in Product Development , Research and Development (R&D) , and Quality Assurance (QA) .

Q: Which industries has Jens worked in recently?

Jens has recently worked in industries like Information Technology (IT) , Professional Services , and Banking and Finance .

Q: Which business areas has Jens worked in recently?

Jens has recently worked in business areas like Information Technology (IT) , Project Management , and Product Development .

Recommended expert

Frankfurt, Germany

Experience

Jun 2023 - Present

2 years 9 months

Frankfurt, Germany

Product Owner & Senior Data Scientist

Legal Tech

Leading an international team of six developers in a Scrum environment
Defining strategic goals for the project in coordination with stakeholders and the development team
Prompt engineering for language models to improve the accuracy and relevance of generated responses
Implementing LangChain components of a RAG chatbot to answer legal questions
Technologies: GPT-4, LangChain, Python (Pandas, sklearn, streamlit), Docker, GitLab, ChromaDB

May 2023 - Apr 2024

1 year

Frankfurt, Germany

Senior Data Scientist

Central Bank

Developing a scalable and high-performance enterprise search solution
Implementing a retrieval-augmented generation (RAG) model to deliver valid and context-aware answers to user queries on documents
Implementing and managing messaging queues to ensure reliable and scalable data processing and transfer between system components
Creating RESTful APIs to provide search features and integrate the enterprise search solution into existing applications and systems, including security and authentication mechanisms
Technologies: ElasticSearch, Kibana, LLaMA, SQL, FastAPI, Docker, Python (Pandas, sklearn, PyTorch), HuggingFace

Sep 2022 - Apr 2023

8 months

Senior Data Scientist

Financial Regulatory Authority

Developing and implementing an early warning system based on structured and unstructured data to monitor the default risk of funds
Developing a chatbot for the authority using GPT-4 to answer questions about annual and quarterly reports
Implementing and configuring automated CI/CD pipelines to automate build, test, and deployment processes
Collaborating closely with subject matter experts to understand requirements for the early warning system
Technologies: GPT-4, LangChain, Python (Pandas, NumPy, PyTorch, sklearn), SQL, GitLab, Docker, Kubernetes, Apache Spark, ChromaDB

Dec 2021 - Aug 2022

9 months

Berlin, Germany

Senior Data Scientist

Public Authority

Leading the project, coordinating regularly with the client, and ensuring all requirements and expectations are met
Developing and training models to analyze economic and financial market reports
Optimizing model performance through hyperparameter tuning and implementing feature engineering and regularization
Collaborating with experts to validate model results and adapt them to the authority's specific needs
Technologies: Python (Pandas, NumPy, SpaCy, sklearn, Keras), HuggingFace, GitLab, Docker

Mar 2021 - Nov 2021

9 months

Salzburg, Austria

Senior Data Scientist

Beverage Manufacturer

Conducting an in-depth analysis of historical sales data to identify patterns, trends, and seasonal variations that could influence sales figures
Using time series analysis techniques like ARIMA, exponential smoothing, and advanced ML models like Random Forests or LSTM to improve sales forecasting accuracy
Incorporating additional data such as weather information or marketing campaigns to further enhance forecast accuracy
Performing sensitivity analyses and scenario modeling to identify potential risks and opportunities early and develop appropriate strategies
Technologies: Python (Pandas, NumPy, seaborn, sklearn), GCP (Dataproc, BigQuery, Cloud Functions, Vertex AI), SQL, GitLab

May 2020 - Feb 2021

10 months

Zürich, Switzerland

Senior Machine Learning Engineer

Universal Bank

Development and implementation of preprocessing pipelines to standardize and structure trader communication data
Use of the pre-trained FinBERT model to generate word embeddings from financial texts
Development and implementation of models for network analysis, anomaly detection, and clustering
Development and automation of end-to-end workflows for training, validation, and deployment of models
Technologies: Python (SpaCy, sklearn, TensorFlow), Hugging Face, SQL, ElasticSearch, Docker, Kubernetes, GitHub, Jenkins, MLflow

Oct 2019 - Apr 2020

7 months

Utrecht, Netherlands

Data Scientist

Traffic Data Authority

Design and implementation of cloud-based system architectures with Azure
Setup and configuration of Kubeflow and MLflow to manage and automate machine learning workflows
Creation and training of machine learning models to identify unusual traffic patterns and situations
Development and execution of tests to ensure functionality, reliability, and security of the developed solutions
Technologies: Python (TensorFlow, PyTorch, Pandas, NumPy), Azure (Kubernetes Service, DevOps, Storage), Kubeflow, MLflow, Helm

Mar 2019 - Sep 2019

7 months

Stuttgart, Germany

Machine Learning Engineer

Automotive Group

Collection and cleaning of historical sales data as well as external factors like market trends, economic data, and seasonal effects
Identification and creation of relevant features to improve the prediction accuracy of the models
Development and training of various machine learning models to forecast sales figures, including specific forecasting models like Prophet and ARIMA
Implementation of an Explainable AI module based on SHAP to improve transparency and traceability of model results
Technologies: Python (Prophet, statsmodels, Keras, Pandas, NumPy, SHAP), SQL, GitLab

Aug 2018 - Feb 2019

7 months

Düsseldorf, Germany

Data Scientist

Asset Manager

Development of containerized microservices, including APIs and test specs for named entity recognition, using and customizing pre- and post-trained AI models
Development and implementation of models to calculate a sentiment score for fund reports
Identification and creation of relevant features from text data that improve model performance, as well as selection of the most important features for model training
Hyperparameter optimization through systematic search or advanced methods like Bayesian optimization
Technologies: Python (Pandas, NumPy, NLTK, SpaCy, Tensorflow), Flask, Azure (Databricks, Cognitive Services, Machine Learning, DevOps)

Jan 2018 - Jul 2018

7 months

Vienna, Austria

Data Scientist

Universal Bank

Creation of a workflow for processing document data, including seamless integration of OCR and NLP modules
Implementation of OCR algorithms for automatic text recognition in various image file formats (tif, jpg, png), including containerization of OCR microservices using Docker
Development and implementation of NLP models for information extraction from the recognized texts
Extraction of relevant features from the OCR and NLP data that can improve model performance and enhance information extraction
Technologies: Python (Tesseract, SpaCy, NLTK, Pandas, NumPy), Docker, Kubernetes, GitLab

Jun 2017 - Dec 2017

7 months

Berlin, Germany

Data Analyst

Kreditbank

Developed and validated credit risk models in Python, including implementing Monte Carlo simulations to analyze different risk scenarios
Used SQL to manage and query large datasets, followed by data preparation, cleaning, and exploratory data analysis in Python to identify key features and patterns
Validated models through backtesting and historical data analysis, followed by fine-tuning based on validation results
Integrated the developed models into the bank's IT system and deployed them into production, including continuous monitoring and optimization
Technologies: Microsoft SQL, Python (Pandas, NumPy, SciPy, sklearn, Seaborn), GitLab, Docker

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Banking and Finance (3.5 years), Information Technology (2.5 years), Professional Services (2.5 years), Government and Administration (2 years), Food and Beverage (0.5 years), and Automotive (0.5 years).

Banking and Finance

Information Technology

Professional Services

Government and Administration

Food and Beverage

Automotive

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (7 years), Business Intelligence (4.5 years), Project Management (3.5 years), Product Development (2.5 years), Research and Development (1 year), and Quality Assurance (0.5 years).

Information Technology

Business Intelligence

Project Management

Product Development

Research and Development

Quality Assurance

Languages

German

Native

English

Advanced

Education

Feb 2018 - Nov 2020

University of Mannheim

Master in Data Science · Data Science · Mannheim, Germany · 1.3

Sep 2013 - Mar 2017

University of Mannheim

Bachelor of Science in Business Mathematics · Business Mathematics · Mannheim, Germany · 1.7

Certifications & licenses

Professional SCRUM Master 1

Profile

Created

May 2024

Last Update

September 2024

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Jens based?

Jens is based in Frankfurt, Germany and can operate in on-site, hybrid, and remote work models.

What languages does Jens speak?

Jens speaks the following languages: German (Native), English (Advanced).

How many years of experience does Jens have?

Jens has at least 9 years of experience. During this time, Jens has worked in at least 6 different roles and for 10 different companies. The average length of individual experience is 1 year and 9 months. Note that Jens may not have shared all experience and actually has more experience.

What roles would Jens be best suited for?

Based on recent experience, Jens would be well-suited for roles such as: Product Owner & Senior Data Scientist, Senior Data Scientist, Senior Machine Learning Engineer.

What is Jens's latest experience?

Jens's most recent position is Product Owner & Senior Data Scientist at Legal Tech.

What companies has Jens worked for in recent years?

In recent years, Jens has worked for Legal Tech, Central Bank, Financial Regulatory Authority, Public Authority, and Beverage Manufacturer.

Which industries is Jens most experienced in?

Jens is most experienced in industries like Banking and Finance, Information Technology (IT), and Professional Services. Jens also has some experience in Government and Public Administration, Food and Beverage, and Automotive.

Which business areas is Jens most experienced in?

Jens is most experienced in business areas like Information Technology (IT), Business Intelligence, and Project Management. Jens also has some experience in Product Development, Research and Development (R&D), and Quality Assurance (QA).

Which industries has Jens worked in recently?

Jens has recently worked in industries like Information Technology (IT), Professional Services, and Banking and Finance.

Which business areas has Jens worked in recently?

Jens has recently worked in business areas like Information Technology (IT), Project Management, and Product Development.

What is Jens's education?

Jens holds a Master in Data Science from University of Mannheim and a Bachelor in Business Mathematics from University of Mannheim.

Does Jens have any certificates?

Jens has 1 certificate: Professional SCRUM Master 1.

What is the availability of Jens?

Jens is immediately available full-time for suitable projects.

What is the rate of Jens?

Jens's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.