Key skills
NumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflowRMachine LearningDeep LearningTensorFlowscikit-learnNumPyXGBoostLightGBMLookerBIPower BIA/B Testing
About this role
Role Overview
- Explore, clean, and analyze large volumes of data (structured and unstructured) to identify patterns, anomalies, and opportunities.
- Develop, train, and validate predictive and prescriptive Machine Learning models (regression, classification, clustering, time series, etc.).
- Create rigorous statistical analyses and hypothesis tests to validate business assumptions.
- Translate complex mathematical metrics into reports and dashboards (Data Storytelling) for technical and non-technical stakeholders.
- Collaborate with data engineers to design efficient data pipelines that feed models in a scalable way.
Requirements
- Experience with: Python (Pandas, NumPy, Scikit-Learn, SciPy) or R.
- Proficiency with data querying and manipulation tools: advanced SQL.
- Hands-on experience with Machine Learning frameworks (XGBoost, LightGBM) and Deep Learning (TensorFlow or PyTorch).
- Strong knowledge of Statistics (probability, regression, A/B testing) and Linear Algebra.
- Experience with data visualization tools (Power BI, Tableau, or Looker).
Tech Stack
- Numpy
- Pandas
- Python
- PyTorch
- Scikit-Learn
- SQL
- Tableau
- Tensorflow
Benefits
- Health and Dental Plan
- Home Office Allowance
- Meal Allowance
- Paid Vacation
- Birthday Day Off
- Health and Wellness Program
- Individual Development Program (IDP)