Data Science Engineer

Role & responsibilities
Collect, clean, process, and analyze large datasets to identify trends and insights.
Develop and implement machine learning models and data science solutions.
Build, train, test, and optimize predictive models using Python.
Work with structured and unstructured data using SQL and other data processing tools.
Perform exploratory data analysis (EDA), feature engineering, and model evaluation.
Create data visualizations and dashboards to communicate insights.
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
Deploy and maintain machine learning models in production environments.

Required Skills
2-4 years of experience in Data Science, Machine Learning, or a related field.
Strong proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn.
Good knowledge of machine learning algorithms and statistical techniques.
Experience with SQL and database management.
Hands-on experience in data cleaning, preprocessing, and exploratory data analysis.
Knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.
Familiarity with model deployment and API development.
Strong problem-solving and analytical skills.