SUMMARY The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor ...
Quick apply
SUMMARY The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor ...
Sr Data Scientist
Juncos, PR · On-site
SUMMARY The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor ...
Sr Data Scientist
Juncos, PR · On-site
SUMMARY The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor ...
Sr Data Scientist
Juncos, PR · On-site
SUMMARY The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor ...
Sr Data Scientist
Juncos, PR · On-site
SUMMARY The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor ...
Sr Data Scientist 35431
Juncos, PR · On-site
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners ...
Sr Data Scientist 35431
Juncos, PR · On-site
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners ...
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners ...
New
Quick apply
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners ...
New
Senior Data Scientist 35431
$37 - $43/hr
Senior Data Scientist (Job ID: 35431) Location: Puerto Rico (Open to Puerto Rico Residents) Work Schedule: Hybrid | Administrative Shift Position Type: 1-Year Contract Openings: 1 Position Summary ...
New
Quick apply
Senior Data Scientist 35431
$37 - $43/hr
Senior Data Scientist (Job ID: 35431) Location: Puerto Rico (Open to Puerto Rico Residents) Work Schedule: Hybrid | Administrative Shift Position Type: 1-Year Contract Openings: 1 Position Summary ...
New
$59K - $60K/yr
Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word, PowerPoint) * Exposure to GxP systems (SAP, LIMS, etc.) is a plus but not required Preferred ...
Quick apply
$59K - $60K/yr
Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word, PowerPoint) * Exposure to GxP systems (SAP, LIMS, etc.) is a plus but not required Preferred ...
$57K - $58K/yr
Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word, PowerPoint) * Exposure to GxP systems (SAP, LIMS, etc.) is a plus but not required Preferred ...
Quick apply
$57K - $58K/yr
Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word, PowerPoint) * Exposure to GxP systems (SAP, LIMS, etc.) is a plus but not required Preferred ...
PR · On-site
Se solicita Profesor(a) para ofrecer cursos en el área de Inteligencia Artificial y Análisis de Datos . Requisitos Mínimos: * Bachillerato en Inteligencia Artificial, Ciencia de Datos, Ciencias de ...
Quick apply
PR · On-site
Se solicita Profesor(a) para ofrecer cursos en el área de Inteligencia Artificial y Análisis de Datos . Requisitos Mínimos: * Bachillerato en Inteligencia Artificial, Ciencia de Datos, Ciencias de ...
Data Scientist information
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 statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.
What Do Data Scientists Do?
Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.
Is a data scientist job still in demand?
Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.
What are Data Scientists?
Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.
What does a data scientist do exactly?
A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and communicate findings to stakeholders.
Is 30 too late for data science?
Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is generally not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.
What is the difference between Data Scientist vs Data Analyst?
| Aspect | Data Scientist |
|---|---|
| Required Credentials | Degree in Computer Science, Statistics, or related field; often requires advanced degrees |
| Work Environment | Research and development, predictive modeling, machine learning projects |
| Employer & Industry Usage | Tech companies, finance, healthcare, consulting firms |
| Common Search & Comparison | Often compared due to overlapping skills in data analysis and modeling |
Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.
What jobs does data science do?
Data science involves analyzing large datasets to extract insights, build predictive models, and support decision-making across various industries. Data scientists often work with programming languages like Python or R, utilize machine learning techniques, and communicate findings to stakeholders. They can be employed in fields such as finance, healthcare, marketing, and technology, often requiring strong analytical skills and knowledge of statistical methods.
What are some typical projects Data Scientists work on, and how do they collaborate with other teams?
Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Puerto Rico? The most popular types of Data Scientist jobs in Puerto Rico are:
What are popular job titles related to Data Scientist jobs in Puerto Rico? For Data Scientist jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Puerto Rico look for? The top searched job categories for Data Scientist jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Data Scientist jobs? Cities in Puerto Rico with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in PR? For Data Scientist jobs in PR, the most frequently searched job titles are:
Job description
We are seeking an experienced Senior Data Scientist to lead advanced analytics and machine learning initiatives that drive measurable business value. You will bridge the gap between complex datasets and strategic business decisions, owning the end-to-end data modeling lifecycle while mentoring junior colleagues and collaborating with key stakeholders.
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 Client 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 for Amgen.
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
-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
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
**Weil Group is proud to be an Equal Employment Opportunity Employer.*
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 Client 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 for Amgen.
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
-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
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
**Weil Group is proud to be an Equal Employment Opportunity Employer.*
About Weil Group
Sourced by ZipRecruiter
Company size
1 - 10 Employees
Headquarters location
Richmond, VA, US
Year founded
2011