Description

You will develop and deploy machine learning models to solve complex business problems.

This role is on-site.

Responsibilities

• Apply statistical and machine learning models to identify and address business challenges.
• Collaborate with departments to identify process improvement opportunities and analytics use-cases.
• Evaluate the accuracy and quality of data sources and model designs.
• Communicate technical results and findings to colleagues and business partners.

Required Skills

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics, or a related field.
• 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.
• Experience with dimensionality reduction and clustering techniques including PCA, t-SNE, K-means, and DBSCAN.
• Practical application of machine learning algorithms to real-world datasets.

Preferred Skills

• Experience with Spark.
• Expertise in solving Time Series problems.

Key Skills

Education

Any Graduate