Data Scientist

Weil Group-posted 8 days ago

Mid Level

Dorado, PR

1-10 employees

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We are seeking a Data Scientist (Contractor) to support our ongoing digital transformation initiatives. The contractor will be responsible for analyzing complex datasets, developing data pipeline strategies, and implementing AI/ML models to transition our operations from reactive to predictive. This role requires both technical expertise and business acumen to ensure data-driven insights lead to tangible process improvements.

Design and implement data collection, storage, and archiving pipelines to support efficient access and analysis.
Integrate data from multiple sources, including manufacturing equipment, MES, SAP, and other enterprise systems.
Ensure both real-time and historical data are accurately captured and maintained.
Perform exploratory and statistical analysis to identify patterns, correlations, and trends across business and manufacturing data.
Build and deploy predictive and machine learning models to support proactive decision-making and process optimization.
Collaborate with stakeholders to define KPIs and develop dashboards or reports for actionable insights.
Analyze current business and operational processes to identify opportunities for automation and digital transformation.
Design and implement data-driven workflows that streamline operations and enhance efficiency.
Work closely with business process owners, IT, and operations teams to ensure alignment with strategic goals.
Document methodologies, data architecture, and models to support sustainability and handover to internal teams.

Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, Statistics, or related field.
3+ years of professional experience in data science, analytics, or machine learning, preferably in a manufacturing or medical device environment.
Proven experience developing and deploying data pipelines and predictive models.
Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau).
Familiarity with data platforms (e.g., Azure, AWS, or GCP) and integration of enterprise systems such as MES and SAP.
Strong understanding of industrial, IoT, or equipment-level data.
Excellent communication and problem-solving skills.
Ability to translate complex analytical concepts into actionable business strategies.
Self-driven and capable of working independently within cross-functional teams.

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