Data Scientist - 35431 - Juncos, PR

Posted 12 Days Ago
Be an Early Applicant
Juncos, PRI
In-Office
Junior
Food • Professional Services • Business Intelligence • Pharmaceutical
The Role
Perform data science and analytics using Python, R, SQL and visualization tools. Work with enterprise data platforms, data warehousing, data modeling and integration (Databricks, EDW, SAP, MES). Support Industry 4.0 initiatives (IoT, digital twins, real-time analytics) to derive insights and build analytics solutions.
Summary Generated by Built In
  • Software Engineering or BA Data Science/Analytics
  • Proficiency in Python, R, SQL, Power BI, Da

    tabricks, or similar analytics and visualization platforms.


  • Familiarity with enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions (e.g., EDW, Databricks, SAP, MES, or equivalent platforms).


  • Exposure to Industry 4.0 technologies (IoT, digital twins, real-time analytics)




Requirements
Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mat

hematics, business analytics, engineering, computer science or related field experience


Alternatively, Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience


Alternatively, Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience


Alternatively, High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience


Skills Required

  • Proficiency in Python, R, SQL, Power BI, Databricks or similar analytics and visualization platforms.
  • Familiarity with enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions (EDW, Databricks, SAP, MES).
  • Exposure to Industry 4.0 technologies (IoT, digital twins, real-time analytics).
  • Education/experience: Doctorate OR Masters +2 years, or Bachelors +4 years, or Associates +8 years, or High school/GED +10 years in data science, statistics, applied mathematics, business analytics, engineering, computer science or related field.
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The Company
11 Employees

What We Do

ISPV Inc. is a Life Science company that leads Productivity & Validation projects for the Pharmaceutical and Food industries.

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