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Senior Data Scientist(m/w/x)
Developing and leading AI/ML solutions for predictive analytics and process automation for diverse client industries, extracting insights from large data. 5+ years hands-on applied ML/AI experience with project leadership required. Exposure to Fortune 500 firms and SMEs across diverse industries.
Anforderungen
- Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field
- 5+ years relevant experience in data science or ML engineering with proven hands-on experience in applied ML and AI
- Proficiency in programming languages like Python, with libraries (TensorFlow, scikit-learn, NLTK), and good command of SQL
- Solid understanding of statistical methods and concepts
- Experience leading projects or functional leadership responsibilities
- Experience communicating with and managing stakeholders, ideally in IT services or consulting
- Ability to work independently and collaboratively in fast-paced environments
- Excellent communication skills
- Ability to present complex technical concepts clearly
- Fluency in English
- Experience with big data technologies and cloud platforms
- Experience with data processing in Spark and Databricks, or similar technologies
- Experience with data visualization, dashboarding tools or simple frontends (Streamlit, Dash, Tableau, PowerBI)
- Knowledge of deep learning frameworks (PyTorch, Keras)
- Previous experience deploying ML/AI models into production
- Experience with generative AI and agentic systems
- Fluency in German
Aufgaben
- Develop and implement ML algorithms and models to solve client challenges.
- Extract valuable insights from large, unstructured data.
- Develop and lead AI/ML solutions for predictive analytics, recommendation systems, and process automation.
- Collaborate with teams to understand client objectives.
- Translate objectives into effective ML/AI solutions.
- Evaluate model performance.
- Continuously improve model accuracy and efficiency.
- Communicate findings to technical and non-technical stakeholders.
- Assume functional leadership responsibilities.
- Support data scientists' professional development.
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- machine learning
- AI
- Python
- TensorFlow
- scikit-learn
- NLTK
- SQL
- big data technologies
- cloud platforms
- Spark
- Databricks
- Streamlit
- Dash
- Tableau
- PowerBI
- PyTorch
- Keras
- generative AI
- agentic systems
Benefits
Weiterbildungsangebote
- Training programs
- Free language courses
Sonstige Vorteile
- Competence centers
- Supplementary insurances
Startup-Atmosphäre
- Active tech community
Flexibles Arbeiten
- Hybrid work
- Flexible hours
Workation & Sabbatical
- Workation
- Sabbaticals
Familienfreundlichkeit
- Parental support
Team Events & Ausflüge
- After-work activities
Öffi Tickets
- Public transport tickets
Firmenfahrrad
- Job bikes
Gesundheits- & Fitnessangebote
- Health offers
Betriebliche Altersvorsorge
- Pension plan
Mitarbeiterrabatte
- Various discounts
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Senior Data Scientist(m/w/x)
Developing and leading AI/ML solutions for predictive analytics and process automation for diverse client industries, extracting insights from large data. 5+ years hands-on applied ML/AI experience with project leadership required. Exposure to Fortune 500 firms and SMEs across diverse industries.
Anforderungen
- Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field
- 5+ years relevant experience in data science or ML engineering with proven hands-on experience in applied ML and AI
- Proficiency in programming languages like Python, with libraries (TensorFlow, scikit-learn, NLTK), and good command of SQL
- Solid understanding of statistical methods and concepts
- Experience leading projects or functional leadership responsibilities
- Experience communicating with and managing stakeholders, ideally in IT services or consulting
- Ability to work independently and collaboratively in fast-paced environments
- Excellent communication skills
- Ability to present complex technical concepts clearly
- Fluency in English
- Experience with big data technologies and cloud platforms
- Experience with data processing in Spark and Databricks, or similar technologies
- Experience with data visualization, dashboarding tools or simple frontends (Streamlit, Dash, Tableau, PowerBI)
- Knowledge of deep learning frameworks (PyTorch, Keras)
- Previous experience deploying ML/AI models into production
- Experience with generative AI and agentic systems
- Fluency in German
Aufgaben
- Develop and implement ML algorithms and models to solve client challenges.
- Extract valuable insights from large, unstructured data.
- Develop and lead AI/ML solutions for predictive analytics, recommendation systems, and process automation.
- Collaborate with teams to understand client objectives.
- Translate objectives into effective ML/AI solutions.
- Evaluate model performance.
- Continuously improve model accuracy and efficiency.
- Communicate findings to technical and non-technical stakeholders.
- Assume functional leadership responsibilities.
- Support data scientists' professional development.
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- machine learning
- AI
- Python
- TensorFlow
- scikit-learn
- NLTK
- SQL
- big data technologies
- cloud platforms
- Spark
- Databricks
- Streamlit
- Dash
- Tableau
- PowerBI
- PyTorch
- Keras
- generative AI
- agentic systems
Benefits
Weiterbildungsangebote
- Training programs
- Free language courses
Sonstige Vorteile
- Competence centers
- Supplementary insurances
Startup-Atmosphäre
- Active tech community
Flexibles Arbeiten
- Hybrid work
- Flexible hours
Workation & Sabbatical
- Workation
- Sabbaticals
Familienfreundlichkeit
- Parental support
Team Events & Ausflüge
- After-work activities
Öffi Tickets
- Public transport tickets
Firmenfahrrad
- Job bikes
Gesundheits- & Fitnessangebote
- Health offers
Betriebliche Altersvorsorge
- Pension plan
Mitarbeiterrabatte
- Various discounts
Über das Unternehmen
Diconium Germany GmbH
Branche
Consulting
Beschreibung
The company does digital business transformation across various industries, enabling firms to maximize the impact of their digital initiatives.
Noch nicht perfekt?
- science + computing AG
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Vollzeitmit HomeofficeManagementBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Smartly
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