Overview

Senior Data Scientists lead data analysis projects, develop advanced models, and derive strategic insights.

Responsibilities

• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications. Identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Stay up to date with developments in the machine learning industry.
• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools. Run machine learning tests and experiments, documenting findings and results. Train, retrain, and monitor machine learning systems and models as needed.
• Familiarity with server side deployment. Construct optimized data pipelines to feed machine learning models. Consult with managers to determine and refine machine learning objectives. Extend existing machine learning libraries and frameworks.

Qualifications

• Impeccable analytical and problem-solving skills. Extensive math and computer skills, with a deep
• understanding of probability, statistics, and algorithms. In-depth knowledge of machine learning frameworks like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture. Excellent time management and organizational skills. Proven experience as a machine learning engineer or in a similar role.
• Familiarity with Python, Java, and R. Excellent communication and collaboration skills. Innovative mind with a passion for continuous learning. General knowledge of building machine learning systems.
• Bachelor’s degree/
• Master’s (or equivalent) in computer science, mathematics, or a related field.