We are seeking a highly skilled and experienced Senior Applied Scientist to lead the development and deployment of advanced Machine Learning solutions. This is an excellent opportunity for someone who combines strong technical expertise with leadership capabilities and a passion for building high-impact solutions.
Job Description
The ideal candidate will have a deep understanding of ML best practices, including A/B testing, pipelines, feature engineering, and experiment design. They will also have a strong knowledge of algorithms and techniques such as gradient boosting, deep neural networks, transformers, and optimization methods.
* Lead end-to-end development and deployment of Machine Learning models to solve complex business problems.
* Write and maintain clean, efficient, scalable code following industry best practices.
* Analyze large-scale datasets to extract insights and support data-informed decision-making.
* Apply state-of-the-art ML methodologies to build robust models.
* Take ownership of key system components and influence the broader technical strategy.
* Collaborate with cross-functional stakeholders to design deployable, production-ready ML solutions.
Required Skills and Qualifications
The successful candidate will possess:
* 5+ years of industry experience in applied Machine Learning.
* A Master's degree or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related field.
* 3+ years of experience building, deploying, and managing ML and deep learning models in production at scale.
* Deep understanding of ML best practices.
* Strong knowledge of algorithms and techniques.
* Experience with Python scientific libraries and ML frameworks.
* Strong data engineering skills and comfort working with large-scale datasets.
Benefits
The role offers:
* Opportunities for professional growth and development.
* A dynamic and collaborative work environment.
* Competitive compensation and benefits package.