Description

You will apply statistical and machine learning techniques to solve business problems and develop analytics use-cases.

This role is on-site.

Responsibilities

• Develop and implement machine learning models to address specific business requirements.
• Evaluate the accuracy and quality of data sources and designed models.
• Collaborate with various departments to identify process improvement opportunities.
• Communicate technical results and findings to colleagues and business partners.

Required Skills

• Minimum 1 year of industry experience as a Data Scientist, Research Scientist, or Machine Learning Engineer.
• Proficiency in Python and/or R.
• Hands-on knowledge of XGBoost, LightGBM, Random Forests, and SVMs.
• Practical experience with PCA, t-SNE, k-means, and DBSCAN.
• Strong theoretical understanding of machine learning algorithms.
• Degree in Computer Science, Electrical Engineering, Machine Learning, Statistics, or a related field.

Preferred Skills

• Experience solving Time Series problems.
• Knowledge of Spark.

Key Skills

Education

Any Graduate