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About the role
As an AI Data Solutions Analyst at Thermo Fisher Scientific, you will play a crucial role in building and maintaining scalable data solutions that enable advanced analytics powered by generative AI. You will work closely with the Corporate Customer Marketing team to provide actionable insights from a variety of data sources. Your technical expertise in tools like Databricks, Python, PySpark, SQL, and Excel will be essential in supporting senior leadership and ensuring the success of high-visibility projects. Primary Responsibilities: - Work collaboratively with product managers, data engineers, and business partners to develop and maintain scalable AI-driven data solutions using Databricks, Python, PySpark, and SQL. - Support generative AI applications by preparing, cleaning, and integrating datasets from various enterprise and third-party sources. - Create dashboards, models, and automated reporting to translate complex data into clear, actionable insights. - Provide technical problem-solving skills to troubleshoot data pipelines, improve performance, and ensure timely delivery of results. - Document and standardize processes through clear technical and procedural documentation to enhance repeatability and scalability. - Collaborate with stakeholders to translate evolving business requirements into agile technical implementations. - Support executive presentations and high-level strategy by delivering reliable, accurate, and well-documented technical outputs. Minimum Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field. - 2+ years of hands-on experience with Python, PySpark, SQL, and Databricks. - Strong background in data preparation, cleaning, and integration for analytics and machine learning workflows. - Familiarity with cloud-based environments like Azure, AWS, or GCP, as well as modern data architectures. - Proven ability to document and standardize processes, including writing technical and procedural documentation. - Demonstrated capability to manage multiple projects simultaneously in a fast-paced environment. - Excellent communication skills with the ability to translate technical outputs into business-relevant insights. - Results-oriented, agile, and adaptable, with a strong sense of accountability and attention to detail. Preferred Qualifications: - Experience in supporting AI/ML model development or integration into business workflows. - Design and optimization of relational and graph database architectures to enhance advanced content mapping and analytics. - Familiarity with marketing and sales data and its utilization to enhance customer engagement and pipeline performance. - Strong collaboration skills with cross-functional teams, including product management, technical, and business stakeholders. As an AI Data Solutions Analyst at Thermo Fisher Scientific, you will play a crucial role in building and maintaining scalable data solutions that enable advanced analytics powered by generative AI. You will work closely with the Corporate Customer Marketing team to provide actionable insights from a variety of data sources. Your technical expertise in tools like Databricks, Python, PySpark, SQL, and Excel will be essential in supporting senior leadership and ensuring the success of high-visibility projects. Primary Responsibilities: - Work collaboratively with product managers, data engineers, and business partners to develop and maintain scalable AI-driven data solutions using Databricks, Python, PySpark, and SQL. - Support generative AI applications by preparing, cleaning, and integrating datasets from various enterprise and third-party sources. - Create dashboards, models, and automated reporting to translate complex data into clear, actionable insights. - Provide technical problem-solving skills to troubleshoot data pipelines, improve performance, and ensure timely delivery of results. - Document and standardize processes through clear technical and procedural documentation to enhance repeatability and scalability. - Collaborate with stakeholders to translate evolving business requirements into agile technical implementations. - Support executive presentations and high-level strategy by delivering reliable, accurate, and well-documented technical outputs. Minimum Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field. - 2+ years of hands-on experience with Python, PySpark, SQL, and Databricks. - Strong background in data preparation, cleaning, and integration for analytics and machine learning workflows. - Familiarity with cloud-based environments like Azure, AWS, or GCP, as well as modern data architectures. - Proven ability to document and standardize processes, including writing technical and procedural documentation. - Demonstrated capability to manage multiple projects simultaneously in a fast-paced environment. - Excelle
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