Sr Data Scientist

Job highlights

• Masters degree or PhD in Computer Science,Data Science,Mathematics,Statistics,Economics,Financial Engineering,or a related quantitative discipline. 5+ years of professional experience in data science,data engineering,or a closely related field. Strong programming proficiency in both Python,SQL,and R with demonstrated ability to debug complex code issues.

Job Summary

We are seeking an experienced Senior Data Scientist with strong data engineering fundamentals to serve as a technical backbone for our data infrastructure. The ideal candidate will have deep expertise in diagnosing code issues, troubleshooting failing workflows, and debugging production data pipelines in both Python and R environments on the Databricks platform. Beyond maintaining and supporting existing systems, a successful candidate will develop and enhance AI and data-driven solutions and build practical user-facing applications. This is an opportunity for a data scientist who enjoys moving beyond experimentation and applying modern AI and machine learning techniques to real business problems.

Responsibilities

• Design and implement data transformation and standardization methodologies, including panel dataset specification design, to convert structured/unstructured and digital/non digital data into standardized, digitized formats enabling the onboarding of new data sources aligned to business priorities
• Design, maintain, and continuously improve existing Databricks workflows supporting data science, analytics, and AI/LLM workloads. Evaluate and improve the quality, reliability, and performance of existing data pipelines through rigorous testing, monitoring, and evaluation.
• Integrate applications with LLM APIs, databases, enterprise data sources and other services.
• Build interactive data and AI applications using Streamlit, Flask, FastAPI or other appropriate Python frameworks and libraries.
• Provide production support and rapid incident response when workflows fail or data quality issues arise
• Author technical documentation including workflow specifications, process guides, debugging runbooks, and troubleshooting guides
• Use GenAI applications to accelerate future code development, identify optimization opportunities, and improve pipeline efficiency. Stay current with emerging AI and data science technologies to improve automation and productivity
• Support ad-hoc troubleshooting projects and strategic initiatives as needed

Qualifications

• Masters degree or PhD in Computer Science, Data Science, Mathematics, Statistics, Economics, Financial Engineering, or a related quantitative discipline
• 5+ years of professional experience in data science, data engineering, or a closely related field
• Strong programming proficiency in both Python, SQL, and R with demonstrated ability to debug complex code issues
• Practical experience developing or contributing to Generative AI and LLM-based applications, with an understanding of LLMs, prompt engineering, embeddings, and RAG
• Ability to read, understand, and fix code written by others across both Python and R
• Familiarity with data warehouse concepts, schema design, and data consolidation patterns
• Understanding of Generative AI applications and practical experience leveraging AI/ML tools to enhance code quality and development velocity
• Knowledge of agentic AI workflows and how they can be applied to data engineering tasks
• Exceptional analytical and problem-solving abilities a must for diagnosing complex issues
• Excellent communication skills with ability to explain technical issues to both technical and non-technical stakeholders
• Ability to work independently and take ownership of system reliability
• Collaborative mindset to work effectively in a fast-paced environment with cross-functional teams

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.