Data Scientist/ Senior Data Scientist

About This Role

This role is for a Data Scientist or Senior Data Scientist who will use data mining, statistical analysis, and predictive modeling to help clients make smarter business decisions. The successful candidate will uncover valuable insights from large datasets to drive transformation and improve products and services. You will manage end-to-end analytics projects, guide teams, and engage with clients to integrate data-driven solutions into business processes.

Responsibilities

• Understand business challenges, translate them into analytical problems, and deliver actionable insights
• Organize and analyze data, identifying patterns and trends using machine learning techniques
• Develop and optimize classifiers, predictive models, and automation solutions
• Perform data mining and leverage state-of-the-art methods to extract valuable insights
• Identify and integrate third-party data sources with internal company data as needed
• Enhance data collection procedures to improve analytical capabilities
• Process, cleanse, and validate data integrity for analysis
• Conduct ad-hoc analyses and effectively present results to stakeholders
• Create automated anomaly detection systems, reports, and dashboards for ongoing monitoring
• Manage client communications and project delivery
• Mentor junior team members
• Contribute to team development by assisting in recruiting and training emerging talent
• Translate business challenges into analytical problems and deliver actionable insights
• Develop and optimize predictive models, classifiers, and automation solutions using ML techniques
• Design and build AI solutions including chatbots, RAG pipelines, workflow agents, and multi-agent systems
• Build Python-based APIs and microservices integrating LLMs (OpenAI, Anthropic, AWS, Azure, GCP)
• Develop retrieval, embedding, and inference pipelines optimized for performance and scalability
• Deploy and manage AI workloads across AWS, Azure, and GCP using IaC (Terraform, CloudFormation)
• Integrate monitoring/logging for model performance; follow AI governance and responsible AI practices
• Process, cleanse, and validate data; create automated anomaly detection systems and dashboards
• Participate in code reviews and architecture discussions; adhere to clean code practices

Requirements

• Strong problem-solving abilities
• Excellent communication skills (both oral and written)
• Experience in managing analytics projects from conception to deployment
• Expertise in machine learning algorithms, including regression, classification, optimization, and neural networks