Senior Data Scientist

Job Description

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 whats 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.

Whats 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 Masters 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.

Full-time