Related skills
sql python pandas spark scikit-learn📋 Description
- Translate business questions into analytical modeling problems.
- Conduct deep EDA on complex datasets; validate data quality.
- Design and benchmark features and modeling approaches.
- Write clean Python code and notebooks for analysis.
- Build end-to-end data and modeling pipelines (ETL, training, inference).
- Collaborate with engineering to productionize models; communicate findings to stakeholders.
🎯 Requirements
- Bachelor's or Master's in CS, Stats, Math, Data Science, or related field.
- 1–3 years in data science, data analysis, or ML engineering (internships ok).
- Strong Python for data analysis: pandas, NumPy, scikit-learn; TensorFlow/PyTorch a plus.
- Solid experience with EDA and statistics; comfortable with notebooks.
- Good SQL and data manipulation; join, aggregate, transform.
- Experience structuring code; version control, testing, documentation.
- Strong analytical thinking and data-backed decision making.
- Nice to have: production ML systems, cloud platforms, supply chain domain.
🎁 Benefits
- Competitive salary and stock options.
- Comprehensive medical and insurance coverage.
- PTO, maternity leave, and other leave benefits.
- Unlimited access to online courses for professional growth.
- Flexible working environment and healthy work-life balance.
- Office perks: snacks and fully-stocked kitchen where applicable.
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