Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Power BI Fabric Certification, experience in the Pharmaceutical industry, and proficiency in Python, R, SQL, and machine learning frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 14, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Davie, FL
🧠 - Skills detailed
#Predictive Modeling #PyTorch #Data Engineering #Semantic Models #Visualization #Microsoft Power BI #SQL (Structured Query Language) #Datasets #BI (Business Intelligence) #ML (Machine Learning) #TensorFlow #Python #Data Analysis #R #Programming #Data Science
Role description
Description:
• Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
• Predictive Modeling: Develop and implement predictive models to define process performance.
• Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
• Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
• Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
Core Skills:
• Must have Power BI Fabric Certification.
• Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
• Must have PL300 & Python certifications.
• Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
• Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
• Master's or PhD in Data Science - College fresh or with one year experience in Pharmaceutical experience using Power BI.
Description:
• Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
• Predictive Modeling: Develop and implement predictive models to define process performance.
• Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
• Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
• Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
Core Skills:
• Must have Power BI Fabric Certification.
• Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
• Must have PL300 & Python certifications.
• Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
• Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
• Master's or PhD in Data Science - College fresh or with one year experience in Pharmaceutical experience using Power BI.
