Senior Data Scientist

Responsibilities:

• Collaborate within a cross-functional team of designers, engineers, and product managers to understand business objectives and transform them into technical requirements, while brainstorming and implementing end-to-end data or technical solutions.
• Oversee the entire deployment lifecycle of machine learning models, including data collection, preprocessing, model training, evaluation, and deployment.
• Design and build scalable machine learning algorithms and systems capable of handling large datasets with high reliability.
• Maintain and improve existing models and API services.
• Continuously research and stay informed about the latest advancements in machine learning.
• Develop and maintain data extraction and transformation pipelines.
• Be adept at working with unstructured and messy data.
• Create prototypes for new data science-driven features, including both frontend and backend for the application.

Qualifications:

• A minimum of 3 years of hands-on experience as a Data Scientist.
• Strong communication and analytical abilities.
• Proven experience (in both academia and/or industry) leading independent data science projects.
• Proficiency in Python, SQL, and/or Node.js.
• Solid understanding of data structures, algorithms, optimization techniques, caching, and multi-service architecture.
• Practical expertise in machine learning, statistical modeling, and/or systems modeling.
• Experience or familiarity with natural language processing.
• Hands-on experience with accessing data from SQL and NoSQL databases, particularly MongoDB.
• Familiarity with cloud platforms and analytics services (GCP, AWS, Azure, etc.).
• Proficiency in Kubernetes and container orchestration.
• Experience in DevOps practices, including Infrastructure-as-Code (IaC), GitOps, and CI/CD tools like Terraform, Argo CD, and GitHub Actions.
• Expertise in deploying machine learning models at scale and managing ML pipelines.
• A strong understanding of software engineering best practices and writing clean, maintainable code.