Senior Data Scientist

Sedaiag
Risch-Rotkreuz, Switzerland
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior

Job location

Risch-Rotkreuz, Switzerland

Tech stack

A/B testing
Geographic Information Systems
Data analysis
Collaborative Software
Data Systems
Django
Github
Python
Machine Learning
NumPy
TensorFlow
SciPy
Jupyter Notebook
PyTorch
Flask
GIT
Pandas
Matplotlib
Scikit Learn
Information Technology
Optimization Algorithms

Job description

As a Data Scientist at SedAI, you will play a key role in turning data into insights, models, and intelligent systems that drive value across the organization. You will work cross-functionally with engineers, product managers, and stakeholders to build data-driven solutions and develop machine learning models that solve complex real-world challenges in the global real estate industry., * Analyze large and complex datasets to uncover trends, patterns, and opportunities

  • Design, develop, and validate predictive models and optimization algorithms for production use

  • Collaborate closely with Data Engineers to ensure scalable deployment of machine learning models

  • Design and evaluate A/B tests and experiments to support product and business decisions

  • Communicate findings clearly to both technical and non-technical stakeholders

  • Translate business problems into analytical frameworks and data solutions

  • Contribute to the development and continuous improvement of the data science environment, tools, and best practices

Requirements

Do you have experience in Python?, Do you have a Master's degree?, * PhD or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a similar quantitative discipline

  • 5+ years of experience in a data science or applied machine learning role

  • Experience in data exploration, analysis, and visualization using Python, pandas, NumPy, SciPy, matplotlib, Seaborn, Jupyter Notebooks, and JupyterLab

  • Hands-on experience with model development, particularly Bayesian or dependency networks for probabilistic programming, using libraries such as pgmpy, NetworkX, scikit-learn, TensorFlow Probability, or PyTorch

  • Familiarity with model deployment frameworks such as Flask or Django

  • Proficient in code management and collaboration tools like Git, GitHub, or similar

  • Nice to have: Experience working with geospatial data tools such as GeoPandas or Folium

  • Excellent problem-solving skills, business acumen, and strong communication abilities

  • Ability to think critically and creatively in a dynamic environment and quickly learn new tools and domain knowledge

  • A positive attitude and a growth mindset

  • Fluent in English and German (minimum B2 level), * How many years of Engineering experience do you currently have?

  • What is your level of proficiency in English?

  • What is your level of proficiency in German?

  • Are you legally authorized to work in Switzerland?

About the company

At SedAI, we believe bold innovation starts with curious, driven people. Our culture is driven by curiosity, ownership, resilience, and the courage to pursue bold, ambitious goals. Here's why you'll love working with us: * Join a mission-driven team where your ideas, skills, and contributions shape real products and solutions from day one * Enjoy autonomy and short decision-making processes in a collaborative environment where initiative and responsibility are encouraged * We invest in your professional development - whether it's training or personal mentoring - because we grow when you do. Disclaimer SedAI AG primarily engages directly with candidates. We do not accept unsolicited resumes or candidate profiles from recruitment agencies unless assistance has been explicitly requested for a specific role. Any submissions made without prior agreement will not be acknowledged or considered. We appreciate the understanding and cooperation of recruitment agencies in respecting this policy. Job Type: 100%

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