Technical Engineering Consultants, LLC
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a 12-month contract, offering a full-time, on-site position. Key skills include Python, SQL, and experience in manufacturing or medical devices. A Bachelor’s or Master’s degree in a relevant field is required.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
November 30, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dorado, PR 00646
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🧠 - Skills detailed
#Data Science #Data Pipeline #Data Architecture #Microsoft Power BI #Storage #Statistics #Tableau #Visualization #SAP #BI (Business Intelligence) #Python #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Cloud #Automation #AWS (Amazon Web Services) #Data Access #ML (Machine Learning) #Azure #Datasets #Computer Science #SQL (Structured Query Language) #IoT (Internet of Things)
Role description
Job Overview
The Data Scientist will be responsible for analyzing complex datasets, developing data pipeline strategies, and implementing AI/ML models. This role requires both technical expertise and business acumen to ensure data-driven insights lead to tangible process improvements.
Key Responsibilities
Design and implement data pipelines for collection, storage, and archiving to ensure efficient data access and analysis.
Integrate data from multiple sources, including manufacturing equipment, MES, SAP, and other enterprise platforms.
Ensure accurate capture and maintenance of both real-time and historical data.
Conduct exploratory and statistical analyses to uncover patterns, correlations, and trends across business and manufacturing datasets.
Develop and deploy predictive and machine learning models to enable proactive decision-making and process optimization.
Collaborate with stakeholders to define KPIs and create dashboards and reports that deliver actionable insights.
Evaluate current business and operational processes to identify opportunities for automation and digital transformation.
Design and implement data-driven workflows that enhance operational efficiency and streamline processes.
Partner closely with business process owners, IT, and operations teams to ensure alignment with organizational goals.
Document methodologies, data architecture, and models to support long-term sustainability and smooth handover to internal teams.
Qualifications
Bachelor’s or Master’s degree in Engineering, Computer Science, Statistics, or a related discipline.
3+ years of experience in data science, analytics, or machine learning, ideally in a manufacturing or medical devicesetting.
Demonstrated ability to design, build, and deploy data pipelines and predictive models.
Strong proficiency in Python, SQL, and data visualization toolssuch as Power BI or Tableau.
Experience working with cloud data platforms (Azure, AWS, or GCP) and integrating enterprise systems like MES and SAP.
Solid understanding of industrial data, including IoT and equipment-level sources.
Skilled at transforming complex analytical insights into practical, business-focused recommendations.
Highly self-motivated, with the ability to operate independently and collaborate effectively across cross-functional teams.
Assignment Details
Duration: 12 months (contract with potential extension)
Schedule: Full-time, typically on-site within client facilities
Job Types: Full-time, Contract
Work Location: In person
Job Overview
The Data Scientist will be responsible for analyzing complex datasets, developing data pipeline strategies, and implementing AI/ML models. This role requires both technical expertise and business acumen to ensure data-driven insights lead to tangible process improvements.
Key Responsibilities
Design and implement data pipelines for collection, storage, and archiving to ensure efficient data access and analysis.
Integrate data from multiple sources, including manufacturing equipment, MES, SAP, and other enterprise platforms.
Ensure accurate capture and maintenance of both real-time and historical data.
Conduct exploratory and statistical analyses to uncover patterns, correlations, and trends across business and manufacturing datasets.
Develop and deploy predictive and machine learning models to enable proactive decision-making and process optimization.
Collaborate with stakeholders to define KPIs and create dashboards and reports that deliver actionable insights.
Evaluate current business and operational processes to identify opportunities for automation and digital transformation.
Design and implement data-driven workflows that enhance operational efficiency and streamline processes.
Partner closely with business process owners, IT, and operations teams to ensure alignment with organizational goals.
Document methodologies, data architecture, and models to support long-term sustainability and smooth handover to internal teams.
Qualifications
Bachelor’s or Master’s degree in Engineering, Computer Science, Statistics, or a related discipline.
3+ years of experience in data science, analytics, or machine learning, ideally in a manufacturing or medical devicesetting.
Demonstrated ability to design, build, and deploy data pipelines and predictive models.
Strong proficiency in Python, SQL, and data visualization toolssuch as Power BI or Tableau.
Experience working with cloud data platforms (Azure, AWS, or GCP) and integrating enterprise systems like MES and SAP.
Solid understanding of industrial data, including IoT and equipment-level sources.
Skilled at transforming complex analytical insights into practical, business-focused recommendations.
Highly self-motivated, with the ability to operate independently and collaborate effectively across cross-functional teams.
Assignment Details
Duration: 12 months (contract with potential extension)
Schedule: Full-time, typically on-site within client facilities
Job Types: Full-time, Contract
Work Location: In person
