Description

You will build data models and machine learning algorithms to derive actionable insights.

Responsibilities

• Clean, transform, and preprocess data to prepare it for analysis.
• Build mathematical and statistical models to analyze data relationships.
• Design and implement machine learning and deep learning algorithms using neural networks.
• Perform time series analysis and forecasting to predict future values.
• Apply clustering and classification techniques to group data points.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Proficiency in Python for data manipulation and analysis.
• Extensive use of Pandas and Numpy for numerical computing and array manipulation.
• Experience with Scikit-Learn, SciPy, and TensorFlow for machine learning and deep learning.
• Hands-on experience with PySpark for distributed computing and big data processing.
• Ability to perform natural language processing tasks using SpaCy.
• Skill in data visualization using Matplotlib to communicate findings.
• Experience with predictive analysis and statistical modeling.
• Background in analyzing historical data for forecasting.

Preferred Skills

• Experience with complex deep learning algorithms.

Key Skills

Education

ANY GRADUATE