Job Overview:
Join the Operations Quality Digital Strategy and Innovation (QDS&I) team, where we drive the organization’s digital transformation through the latest digital tools, automation, AI, and generative AI. We are seeking a motivated and experienced Data Scientist/Data Engineer to contribute to this innovative journey by developing and optimizing data pipelines, creating digital products, and supporting data strategy across various business domains.
Location: Remote (Must reside in AZ, FL, GA, KY, IN, NC, SC, or TX)
Eligibility: Must be able to work in the US without requiring employer sponsorship now or anytime in the future.
Employment Type: W2 Only
Key Responsibilities:
- Data Pipeline Development: Design, develop, and optimize data flow pipelines to extract, transform, and load data from multiple sources. Ensure seamless data integration for information models and digital product development.
- Data Management: Implement process improvements by automating manual tasks, optimizing data delivery, and enhancing database scalability and performance.
- Digital Product Development: Collaborate on digital product creation using advanced data engineering techniques such as semantic layers, Enterprise Data Lakes (EDL), and Enterprise Data Fabric (EDF).
- Collaboration: Partner with stakeholders to automate data pipelines and align them with business objectives.
Basic Qualifications:
- Master’s Degree with 1-3 years of experience in data science/data engineering OR Bachelor’s Degree with 3-5 years of experience in data science/data engineering
- Proficiency in Python and SQL programming.
- Experience processing, filtering, and standardizing large datasets.
- Expertise in relational databases, semantic layers, graph databases, and EDL/EDF technologies.
- Hands-on experience with Databricks, including notebooks, clusters, and Unity Catalog.
- Familiarity with Generative AI (GenAI) prompt engineering.
- Knowledge of DevOps practices such as version control, continuous integration, and test-driven development.
- Experience in the pharmaceutical, biotech, or related industries.
- Strong organizational skills and attention to detail.
- Excellent communication skills, both written and verbal.
Preferred Qualifications:
- Knowledge of Chemistry, Manufacturing, and Controls (CMC) authoring domains.
- Proficiency in EDL tools such as Prophecy.
- Experience with data strategy, data products, and information modeling.
- Familiarity with SAFe Agile delivery models.
- Understanding of pharmaceutical systems (e.g., LIMS, QMS, SAP)