Data Scientist

Analytical & Technical skills
Proficient in Python and/or R for data analysis and modeling
Experience working with structured and unstructured data, large datasets
Familiarity with data analytics, visualization libraries/tools (e.g., Pandas, NumPy, matplotlib, Plotly, seaborn, Tableau, Power BI)
Experience building and tuning models with MLlibraries (e.g., scikit-learn, XGBoost, TensorFlow) is a plus
Solid understanding of statistical methods, experimental design, and hypothesis testing
Bonus: knowledge of MLOps practices (exposure to cloud platforms AWS/GCP/Azure for ML workflows), notebooks (Jupyter), or data versioning tools (DVC)
Soft skills & Ways of working
Curious and business-minded: you connect data findings to strategic goals
Able to thrive in ambiguity and manage multiple projects in parallel
Strong communication skills to translate findings/insights into product decisions
Collaborative, pragmatic, and comfortable working in short, iterative cycles
Energized by working on different concepts and switching contexts frequently
Background & Experience
Master's degree or higher in Data Science, Statistics, Computer Science, or a related quantitative field
3+ years of experience as a Data Scientist or in a similar role
Experience supporting product teams, building MVPs, or working in an innovation/startup context is highly valued
Passion for solving new problems, adapting approaches to different domains, and helping build the data backbone of new ventures