Overview
Skills
Job Details
Be Part Of A Dynamic Team:
Join a globally recognized leader committed to creating comfortable, sustainable, and efficient environments. This organization is known for boldly challenging what s possible to build a better, more sustainable world. The team you will join is dynamic, resourceful, and deeply collaborative, bringing together expertise across disciplines to drive innovation in manufacturing and technology. Known for leveraging cutting-edge solutions like generative AI and advanced data science, the team works in a fast-paced, supportive environment where contributions are valued and professional growth is encouraged. Recent initiatives include the development of smart manufacturing workflows, cross-functional data integrations, and AI-driven analytics solutions aimed at enhancing operational excellence.
What s In Store For You:
- Opportunities for continuous professional development through company training programs, educational assistance, and upskilling in emerging technologies.
- A hybrid work environment, requiring on-site presence 3 days per week, offering a blend of remote flexibility and collaborative in-person engagement.
How You Will Make An Impact:
- Lead the identification and development of new data science projects aimed at transforming manufacturing operations.
- Prepare and execute detailed project workflows, ensuring efficiency and accuracy.
- Collaborate with cross-functional teams, contributing to peer reviews and providing constructive feedback.
- Build ETL pipelines, preprocess complex datasets, and create verification and validation tools.
- Manage datasets from multiple sources and formats to derive actionable insights.
- Translate complex manufacturing requirements into structured, data-driven solutions.
- Develop reports and visualizations that communicate project progress and outcomes to stakeholders.
- Document applications thoroughly for scalability and maintenance.
- Apply generative AI models and integrate them into solutions through API calls.
- Travel up to 10-20% to support project and team initiatives.
Are You a Senior Data Scientist Rock Star?
- PhD or Master s degree in Data Science, Computer Science, Statistics, or related field.
- 3-5 years of industry experience preferred.
- Proficiency in Python and SQL for data manipulation and analysis.
- Experience with Pymongo and NoSQL databases.
- Solid background in Azure cloud services.
- Familiarity with Docker, React, Next.js, and Flask.
- Hands-on experience with rapid application development and deployment using GitHub.
- Expertise in building ETL processes and data preprocessing pipelines.
- Ability to design verification and validation frameworks.
- Strong problem-solving skills with the ability to convert complex requirements into practical solutions.
- Excellent communication skills for preparing reports and delivering insights through visualizations.
- Experience working with generative AI models and APIs.
- Competent in handling diverse datasets from multiple sources and formats.
Key Competencies:
- Expertise in statistics and machine learning techniques, including supervised and unsupervised learning.
- Proficiency in applying modeling best practices to high-volume, asynchronous time-series data.
- Strong understanding of cloud-based solutions and scalable application development.
- Ability to work independently while contributing to team goals in a hybrid work environment.