The company is looking to solve complex data science projects and drive data-driven decisions within the organization.
Requirements
- Hands-on experience with deep learning frameworks, LLMs, GenAI tools, and NLP techniques
- Experience using Python to process large, diverse datasets
- Experience in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc.)
- Experience using containerization tools like Docker and Kubernetes in production environments
- Experience using orchestration tools such as Airflow or Kubeflow for production workloads
- Knowledge of web tracking technology and web analytics tools (Google Analytics, Adobe Analytics, etc.)
- Familiarity with BI tools such as Tableau or Looker
Responsibilities
- Apply domain and industry knowledge to solve complex data science projects
- Develop advanced machine learning models
- Lead data science projects from start to finish
- Collaborate with business and technical teams
- Write and maintain high-quality, production grade code
- Develop and implement algorithms
- Document code and data science processes
Other
- 5+ years of experience leading data science projects
- PhD degree in quantitative fields such as Statistics, Data Science, Computer Science
- Strong communication skills to collaborate effectively with business stakeholders
- Ability to translate complex business problems into actionable project plans
- Domain knowledge and experience in building models across multiple domains
- Master’s degree preferred in quantitative fields such as Statistics, Data Science, Computer Science
