Description

You will own the end-to-end data science lifecycle, from understanding business requirements to deploying ML models that drive data-driven decisions.

This role is on-site.

Responsibilities

• Design and implement data analysis, machine learning models, algorithms, and experiments to support strategic business needs.
• Apply advanced analytics techniques including data mining, predictive modeling, and statistical analysis to uncover meaningful patterns and trends.
• Execute deep-dive analyses on RAV vehicle data to detect early indicators and recommend actions for prevention or mitigation.
• Develop efficient data loading, augmentation, and analysis techniques to enhance the accuracy and robustness of scalable machine learning models.
• Visualize validation results and predictions using Power BI to deliver clear qualitative and quantitative insights to stakeholders.

Required Skills

• 5+ years of experience in data science, machine learning, or a relevant analytical field.
• Strong proficiency in data mining, data analysis, and data science methodologies.
• Expertise in designing and implementing algorithms and statistical models.
• Experience with Power BI for data visualization and dashboard creation.
• Ability to manage and explore large, high-dimensional structured and unstructured datasets.
• Strong communication skills to present analytical results to non-technical audiences and leadership.
• Collaboration experience with architects, data engineers, and software engineers to validate outputs and launch platform capabilities.

Preferred Skills

• Master's degree in Computer Science, Statistics, or a related technical field.
• Experience with automated ML pipelines and prescriptive modeling.

Key Skills

Education

Master's degree