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Overnight Environmental Data Scientist Jobs in Puerto Rico

Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ... environment; 6. Detail-oriented technical aptitude with strong logical, problem solving, and ...

New

Data Scientist

Juncos, PR · On-site

$90 - $120/hr

Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ... environment; * Detail-oriented technical aptitude with strong logical, problem solving, and ...

New

SUMMARY The Data Scientist will lead projects and collaborate with business partners including ... environment; 6. Detail-oriented technical aptitude with strong logical, problem solving, and ...

Sr Data Scientist

Juncos, PR · On-site

$110 - $160/hr

SUMMARY The Data Scientist will lead projects and collaborate with business partners including ... environment; * Detail-oriented technical aptitude with strong logical, problem solving, and ...

SUMMARY The Data Scientist will lead projects and collaborate with business partners including ... environment; 6. Detail-oriented technical aptitude with strong logical, problem solving, and ...

PR · On-site

$95K - $165K/yr

Comfortable in a fast environment where priorities move and data is not always clean. You can tell ... data science, analytics engineering, or quantitative analysis with real operational impact.

Environmental Operator

Cidra, PR · On-site

$15 - $19.50/hr

As a world leader in life science engineering and technical solutions, MTG has the knowledge and ... Ensure compliance and collect required data of site requirements * Ensure compliance and support ...

PR

$48/hr

... environments * Fully Bilingual ( Spanish & English) Responsibilities: * Lead end-to-end analytics ... and data science projects, delivering business impact through data-driven insights * Partner with ...

New

PR · On-site

$45K - $55K/yr

Experience working in a SaaS or digital product environment. * Understanding of customer behavior ... Bachelor's degree in Data Science , Statistics , Economics , Computer Science , or related field.

... data.-Ensures that studies are conducted in compliance with the respective protocol and applicable ... environment: Word, Excel, Power Point).-Skills requiring the application of scientific theory ...

... data.-Ensures that studies are conducted in compliance with the respective protocol and applicable ... environment: Word, Excel, Power Point).-Skills requiring the application of scientific theory ...

Provides data analysis and interpretation, and assesses impact of the data on the project. * Keeps ... Willing to work in a Process Development laboratory environment. SKILLS: * Advanced scientific ...

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Overnight Environmental Data Scientist information

What does an overnight environmental data scientist do?

An Overnight Environmental Data Scientist is responsible for analyzing environmental data, such as air quality, water quality, and weather patterns, during overnight hours to ensure timely reporting and response. They use statistical methods, programming, and specialized software to process large datasets collected from sensors and other monitoring devices. Their work helps organizations and agencies make data-driven decisions about environmental policies, compliance, and emergency responses. Overnight shifts are often required to provide continuous data monitoring and immediate analysis in case of environmental incidents.

What are some unique challenges faced by overnight environmental data scientists, and how can they be managed?

Overnight Environmental Data Scientists often work outside typical business hours, which can pose challenges such as limited real-time collaboration with day-shift colleagues and adjusting to an atypical sleep schedule. Managing these challenges involves strong communication skills, effective handover processes, and utilizing collaboration tools to ensure continuity across shifts. Additionally, overnight roles may involve real-time monitoring of environmental data streams and responding quickly to anomalies, making it important to stay alert and maintain a proactive approach to data quality and reporting.

What are the key skills and qualifications needed to thrive as an overnight environmental data scientist, and why are they important?

To excel as an Overnight Environmental Data Scientist, you need strong analytical skills, proficiency in environmental science concepts, and a degree in a relevant field such as environmental science, data science, or statistics. Familiarity with programming languages like Python or R, GIS software, and experience with data visualization and analysis tools are typically required, along with certifications such as Certified Data Scientist or GIS Professional. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with remote or cross-functional teams. These skills are essential for accurately monitoring environmental trends, supporting real-time decision-making, and ensuring data-driven insights are delivered efficiently—especially during overnight shifts when independent work is critical.

What is the difference between Overnight Environmental Data Scientist vs Environmental Data Analyst?

AspectOvernight Environmental Data ScientistEnvironmental Data Analyst
CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in programming and statistical toolsBachelor's or Master's in Environmental Science, Data Analysis, or related fields; strong analytical skills
Work EnvironmentTypically in research labs, field sites, or data centers, often during overnight shiftsOffice settings, fieldwork, or remote analysis during regular hours
Employer & Industry UsageEnvironmental agencies, research institutions, and consulting firmsGovernment agencies, environmental consultancies, and private firms

The main difference is that Overnight Environmental Data Scientists focus on advanced data modeling and analysis during overnight shifts, often requiring programming skills and scientific expertise. Environmental Data Analysts typically handle data interpretation during regular hours, focusing on reporting and basic analysis. Both roles are vital in environmental sectors but differ mainly in scope, work hours, and technical depth.

What are popular job titles related to Overnight Environmental Data Scientist jobs in Puerto Rico?

For Overnight Environmental Data Scientist jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Overnight Environmental Data Scientist jobs in Puerto Rico look for?

The top searched job categories for Overnight Environmental Data Scientist jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Overnight Environmental Data Scientist jobs?

Cities in Puerto Rico with the most Overnight Environmental Data Scientist job openings:

Infographic showing various Overnight Environmental Data Scientist job openings in Puerto Rico as of August 2026, with employment types broken down into 5% Internship, and 95% Full Time. Highlights an 100% In-person job distribution.

Full-time

Posted 3 days ago

New


Job description

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.

We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:

  • Data Scientist

Description:

SUMMARY
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.
FUNCTIONS
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization.
2. 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.
3. Taking the initiative and work independently with minimal supervision
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
6. Working with SQL and other DB query languages
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
10. 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 OR
  • Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR


COMPETENCIES/SKILLS
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience

At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.
Excited to build something meaningful together? We look forward to hearing from you.
Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.