Senior Data Scientist

Responsibilities

• Aggregate, clean, and analyze data from various sources using Databricks tools and frameworks, preparing both structured and unstructured data for AI/ML applications.
• Write and ensure clean, style-guide-compliant code that is reproducible for similar projects with awareness of optimizing queries and debugging skills.
• Provide dashboards using Databricks Dashboard to trace AI effectiveness, and log data traces and metrics properly using MLFlow.
• Collaborate with other data scientists, AI engineers, full-stack developers, and domain experts on cross-functional projects.
• Keep up to date with the latest developments and trends in data science, applying them to the team's operation.

Requirements

• Bachelor's degree or higher in computer science, statistics, mathematics, or a related field.
• At least 5 years of relevant experience in Data Science or a related field.
• Proficiency in data engineering, data platforms, and analytics with a strong history of successful projects and in-depth knowledge of industry best practices.
• Strong analytics skills.
• Strong understanding of chunking and embedding strategies in RAG applications.
• Proficient in Python, SQL, PySpark and MLFlow.
• Effective communication, documentation, and white-boarding skills.
• Creative, curious, and problem-solving mindset.
• Proven ability to achieve an efficiency increase by utilizing LLMs in coding, analytical, and communication practices.
• Strongly Preferred
• Familiarity with Databricks products and services.
• Experience working with Apache Spark to process large-scale distributed datasets
• Working knowledge of at least one major cloud ecosystem (Azure, AWS, or GCP); Azure is preferred
• Have working knowledge of CI/CD.
• Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies
• At Renesas, you can:
• Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
• Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.
• Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.
• Are you ready to own your success and make your mark?
• Join Renesas. Let's Shape the Future together.

Benefits

Additional Information

About this role: As a Senior Data Scientist, you will be expected to prepare structured and unstructured data for serving AI/ML applications, apply advanced analytical techniques to generate insights and solutions for business problems, independently grasp new technical concepts and critically judging their practicality and adaptability to our organizational environment. About our team Our AI Development team focuses on building enterprise-grade AI solutions to drive business impact across multiple domains. The team is covering the full AI lifecycle from data preparation to production deployment. We work closely with business stakeholders to translate requirements into scalable and practical AI solutions. Our environment emphasizes strong engineering practices, collaboration, and continuous improvement. As part of a growing team, you will have opportunities to shape technical decisions and contribute to strategic AI initiatives.

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Company Intel

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