Description

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

This role is on-site.

Responsibilities

• Partner with stakeholders to identify high-impact data science use cases and assess feasibility.
• Extract, transform, and analyze data from operational, maintenance, and sensor sources to identify patterns and anomalies.
• Build, test, deploy, and monitor machine learning and statistical models for prediction and classification.
• Maintain and enhance existing model deployments to ensure continued accuracy in production.
• Present analytical findings and model outcomes clearly to stakeholders and leadership.

Required Skills

• 5+ years of professional experience in modeling and machine learning.
• Expertise in Python, R, and SQL.
• Strong background in Predictive Modeling, Data Analysis, and Statistical Modeling.
• Hands-on experience with Big Data ecosystems, specifically Hadoop and Spark.
• Proven ability to work with very large datasets.
• Bachelor's degree in a Quantitative field such as Math or Statistics.

Preferred Skills

• Master's degree.
• Familiarity with logistic regression, random forest, GBM, Neural Networks, or SVM techniques.

Key Skills

Education

Any Graduate