Take full ownership of the data science and ML stack from the ground up, including tooling and infrastructure decisions.
Proactively analyze available data to identify business opportunities and recommend ML/AI strategies accordingly.
Drive the complete ML lifecycle: problem definition, data exploration, feature engineering, model development, deployment, and monitoring.
Deliver hands-on ML solutions across various domains (e.g., forecasting, churn prediction, optimization).
Communicate actionable insights and recommendations to both technical and non-technical stakeholders.
Partner with leadership and cross-functional teams to prioritize high-impact data initiatives.
Stay current with advancements in ML/AI and continuously bring innovation into our workflows.

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
5+ years of hands-on experience building and deploying data science and machine learning models.
Proven ability to work independently and drive projects from idea to impact.
Expert in Python and SQL; strong experience with libraries like pandas, scikit-learn, and ML frameworks.
Familiarity with modern BI tools (Power BI, Tableau, etc.).
Deep understanding of ML and statistical methods: regression, classification, forecasting, optimization, A/B testing.
Experience with cloud platforms (AWS, Azure, or GCP).
Excellent communication and collaboration skills, with the ability to influence stakeholders.

Senior Data Scientist

Key skills