Key Responsibilities
Develop and deploy Machine Learning and predictive analytics models.
Perform data exploration, feature engineering, and statistical analysis.
Build data pipelines and automate data processing workflows.
Collaborate with business stakeholders to solve complex problems using data.
Present insights through data visualization and storytelling.
Monitor and optimize model performance in production.
Required Skills
Solid proficiency in Python, SQL, and Data Analysis.
Experience with Machine Learning, Statistical Modeling, and Predictive Analytics.
Hands-on experience with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.
Experience with cloud platforms (Azure, AWS, or GCP).
Familiarity with Big Data technologies and MLOps practices.