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Data Science Degree Jobs in Puerto Rico (NOW HIRING)

Inteldot

Sr Data Scientist 35533

Juncos, PR · On-site

The Data Scientist will lead projects and collaborate with business partners including commercial ... science or related field experience * Prefer Computer Engineering or Computer Sciences degree and ...

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Data Science Degree information

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What is a Data Science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What types of real-world projects or team collaborations can I expect to work on after earning a Data Science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.
What are popular job titles related to Data Science Degree jobs in Puerto Rico? For Data Science Degree jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Data Science Degree jobs in Puerto Rico look for? The top searched job categories for Data Science Degree jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Data Science Degree jobs? Cities in Puerto Rico with the most Data Science Degree job openings:
Data Science Degree jobs near you

Sr Data Scientist 35533

Inteldot

Juncos, PR • On-site

Full-time

Posted 11 days ago

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 (8:00AM - 5:00PM but can required support, first, second, third shift and weekend support during executions)
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
  • Experience providing Manufacturing support (if vials filling, preferred).
  • Experience deploying or integrating AI solutions into manufacturing or operational environments.
  • Artificial intelligence, software development and computer literacy knowledge.
  • Hands-on experience developing AI/ML models for process or task optimization.
  • Knowledge of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
  • Experience using Python, TensorFlow, PyTorch, OpenCV, or similar AI/ML frameworks.
  • Basic knowledge of statistical analysis using JMP, or other statistical software
  • Experience generating technical documentation, protocols, reports, and development records.
  • Knowledge of Good Documentation Practices (GDP), quality systems, and compliance requirements.
  • Strong project management and problem-solving skills.
  • Ability to work in cross-functional teams and communicate effectively with technical and non-technical stakeholders.
  • Quality and compliance-oriented mindset with attention to detail
  • Computer literate with proficient use of Artificial Intelligence (AI) tools and digital technologies.

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:
  • 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
  • Prefer Computer Engineering or Computer Sciences degree and special Courses or certificates in AI models

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