Sr Data Scientist 35431

Inteldot; Juncos (PR); On-site; USD 75,000 - 110,000; Full time

Job summary

Inteldot is seeking an experienced Data Scientist in Puerto Rico to lead advanced analytics projects that drive significant business impact. The ideal candidate will collaborate with commercial insights teams, manufacturing, and service owners to develop analytical models addressing specific business challenges.

The role requires proficiency in major programming languages and data analysis tools, along with advanced knowledge in data science principles. Strong communication skills are essential for presenting findings clearly to stakeholders.

Qualifications

• Advanced knowledge in data science and analytics.
• Proven track record of leading advanced analytics projects.
• Extensive experience using analytical tools and programming languages.

Responsibilities

• Lead data science projects to solve business problems.
• Collaborate with cross-functional teams for project execution.
• Develop analytical models and insights for operational improvement.

Skills

Python

R

SQL

Power BI

Databricks

Data modeling

Industry 4.0 technologies

Education

Doctorate + 2 years experience

Masters + 2 years experience

Bachelors + 4 years experience

Associates + 8 years experience

High school/GED + 10 years experience

Tools

Data warehousing platforms

EDW

SAP

MES

Job description

Inteldot has over 15 years in the life science industry with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.

Administrative Shift

Description

The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end-to-end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.

Requirements

1. Software Engineering or BA Data Science/Analytics
2. Proficiency in Python, R, SQL, Power BI, Databricks, or similar analytics and visualization platforms.
3. Familiarity with enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions (e.g., EDW, Databricks, SAP, MES, or equivalent platforms).
4. Exposure to Industry 4.0 technologies (IoT, digital twins, real-time analytics)

Functions

• Leading, using and developing data science, machine learning, and artificial intelligence capabilities across commercial organization.
• Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
• Taking the initiative and work independently with minimal supervision.
• Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
• Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python.
• Working with SQL and other DB query languages.
• Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
• Presenting analysis ideas, progress and results to business partners in clear and impactful manner.
• Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint.
• Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.

Education

• Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience