Key Responsibilities

Collect, clean, and process large datasets from multiple sources. Develop and implement machine learning models and statistical algorithms. Perform exploratory data analysis and generate insights for stakeholders. Collaborate with engineering and business teams to integrate models into production. Communicate findings through visualizations and reports. 

Required Skills Strong knowledge of Python or R for data analysis and modeling. Proficiency in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with SQL and data manipulation. Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Understanding of statistics and probability.