
Transform Urban Mobility with Data Science
1 week ago
Job Title: Data Analyst
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have a strong foundation in statistics, mathematics, and machine learning.
About the Role:The successful candidate will work on developing and refining statistical models and Machine Learning algorithms to address real-world challenges.
- Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy.
- Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems.
- Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs.
- Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets.
- Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency.
- Document analyses, methodologies, and best practices to maintain clear records for future reference.
- Stay up-to-date with emerging AI/ML technologies and actively explore new approaches—especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs).
- Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner.
The following skills and qualifications are required:
- Strong grounding in statistics, math, and machine learning
- Hands-on Python: pandas, NumPy, scikit-learn
- Comfortable working with data in SQL and/or pandas (joins, windows, groupbys)
- Clear written and verbal communication
- Experience with GenAI/LLMs (prompts, embeddings, simple RAG)
- Visualization: Streamlit, Matplotlib/Seaborn (or Plotly)
- Operations Research basics: vehicle routing, task assignment (e.g., Hungarian), Job Scheduling
- Good software habits: Git, environments, basic tests; any cloud/warehouse exposure
We offer a unique opportunity to be part of an innovative company that values professional growth, trustworthy colleagues, a fun environment in the office, and well-being for employees.
Join Our Team:We foster a culture that encourages growth, integrity, and innovation. If you are passionate about using data to solve impactful problems and transform urban mobility, we encourage you to apply.
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