Work Type: Full-time, permanent Location: 100% Remote Reporting Line: International teams in the US ... Collaborate cross-functionally with data science, technology, media, strategy, and client-facing ...
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Work Type: Full-time, permanent Location: 100% Remote Reporting Line: International teams in the US ... Collaborate cross-functionally with data science, technology, media, strategy, and client-facing ...
New
US-PR-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Together, we push the boundaries of known science and find new ways to connect and protect our ...
US-PR-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Together, we push the boundaries of known science and find new ways to connect and protect our ...
Linguist III
PR · Remote
US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... or data scientists Experience contributing to research papers Important: Preferably no known ...
Linguist III
PR · Remote
US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... or data scientists Experience contributing to research papers Important: Preferably no known ...
Experience in pharmaceutical or life sciences manufacturing (GxP awareness, batch process ... Familiarity with SIMCA-Online or similar multivariate data analysis (MVDA) platforms
Experience in pharmaceutical or life sciences manufacturing (GxP awareness, batch process ... Familiarity with SIMCA-Online or similar multivariate data analysis (MVDA) platforms
Field Application Specialist
Caguas, PR · On-site +1
... remote role . In this role, you will have the opportunity to: - Providing technical and scientific ... high dimensional data (like tSNE, CITRUS, FlowSOM, Parade and other) will be beneficial ...
Field Application Specialist
Caguas, PR · On-site +1
... remote role . In this role, you will have the opportunity to: - Providing technical and scientific ... high dimensional data (like tSNE, CITRUS, FlowSOM, Parade and other) will be beneficial ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... Compiles price proposals, financial reports, and other data and information to provide input on ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... Compiles price proposals, financial reports, and other data and information to provide input on ...
Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Its 185,000 employees enable the company to operate at the edge of known science as they imagine ...
Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Its 185,000 employees enable the company to operate at the edge of known science as they imagine ...
Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Its 185,000 employees enable the company to operate at the edge of known science as they imagine ...
Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Its 185,000 employees enable the company to operate at the edge of known science as they imagine ...
Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Its 185,000 employees enable the company to operate at the edge of known science as they imagine ...
Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Its 185,000 employees enable the company to operate at the edge of known science as they imagine ...
Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Its 185,000 employees enable the company to operate at the edge of known science as they imagine ...
Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required ... Its 185,000 employees enable the company to operate at the edge of known science as they imagine ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... technical data and defense services, including determination of the appropriate export ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... technical data and defense services, including determination of the appropriate export ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... technical data and defense services, including determination of the appropriate export ...
Together, we push the boundaries of known science and find new ways to connect and protect our ... technical data and defense services, including determination of the appropriate export ...
Inside Sales Representative - CDG
Toa Baja, PR · On-site +1
... opportunity data in Salesforce. * Communicate clearly with internal and external customers ... remote sales experience in the healthcare market; an equivalent combination of education and ...
Inside Sales Representative - CDG
Toa Baja, PR · On-site +1
... opportunity data in Salesforce. * Communicate clearly with internal and external customers ... remote sales experience in the healthcare market; an equivalent combination of education and ...
Business Process Manager
Aguadilla, PR · Remote
This is a remote position, with preference for candidates to be located in a major metro city in ... Partner with senior leadership on FICO strategy, data integrity, internal controls, and roadmap ...
Business Process Manager
Aguadilla, PR · Remote
This is a remote position, with preference for candidates to be located in a major metro city in ... Partner with senior leadership on FICO strategy, data integrity, internal controls, and roadmap ...
Remote Data Scientist information
What is the 80 20 rule in data science?
In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis.
What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?
To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.
What Is the Job of a Remote Data Scientist?
Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.
Is AI replacing data scientists?
AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistics, and domain knowledge to develop and refine AI systems. The demand for data scientists remains strong as organizations seek to extract insights and create value from complex data sets.
Can I get a remote job as a data scientist?
Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, statistical analysis, and tools like Python or R, along with good communication abilities. Job seekers should review specific job descriptions to confirm remote work options and requirements.
What are remote data scientists?
Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.
Is 40 too late for data science?
Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.
How does a remote data scientist typically collaborate with team members across different time zones?
As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.
What is the difference between Remote Data Scientist vs Remote Data Analyst?
| Aspect | Remote Data Scientist | Remote Data Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Statistics, or related field; often requires programming skills in Python or R | Degree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools |
| Work Environment | Research-focused, developing models, machine learning, and predictive analytics | Data interpretation, reporting, and visualization to support business decisions |
| Employer & Industry Usage | Tech companies, finance, healthcare, and e-commerce | Retail, marketing, finance, and consulting firms |
Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.
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Full-time
Posted yesterday
Job description
Work Type: Full-time, permanent
Location: 100% Remote
Reporting Line: International teams in the US and Europe
Language Requirement: Advanced English (must-have)
Time Zone Preference: US East Coast
We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a critical technical function by connecting healthcare data with media and marketing insights to drive clear, actionable business outcomes.
The ideal candidate is comfortable working with complex and imperfect data, applies strong statistical reasoning, and can translate sophisticated analyses into compelling insights for both technical and non-technical stakeholders. This is a fully remote role, collaborating closely with cross-functional teams across the US and Europe.
Key ResponsibilitiesPerform advanced SQL-based data transformations, integrating multiple internal and external data sources (e.g., claims, media, CRM, EHR-derived datasets).
Define, validate, and govern metrics aligned with pharmaceutical business needs (e.g., brand performance, HCP engagement, patient journeys).
Apply statistical analysis to identify trends, key drivers, and ensure analytical rigor in recommendations.
Maintain and evolve analytical datasets and workflows as new data is ingested.
Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.
Translate analytical findings into clear, actionable insights tailored to stakeholders across marketing, analytics, strategy, and leadership teams.
Manually clean, normalize, and structure data to ensure quality and analytical readiness for deep-dive analyses.
Prepare datasets to support advanced analytics, including exploratory and explanatory AI/ML applications.
Develop dashboards and data visualizations that clearly communicate insights and support decision-making.
Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams.
Document methodologies, assumptions, and data limitations to ensure transparency and reproducibility.
Bachelors degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.
24 years of experience defining and validating metrics within the pharmaceutical, healthcare, or life sciences industry.
Strong SQL proficiency, including complex joins, transformations, and performance optimization.
Experience working with cloud data warehouses (e.g., BigQuery).
Solid foundation in statistics and analytical reasoning (trend analysis, hypothesis testing, segmentation).
Proven experience with exploratory data analysis and large, complex datasets.
Ability to simplify complex data and insights for diverse audiences.
Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
Strong collaboration skills and experience working with cross-functional teams.
Advanced English communication skills (required).
Experience with pharmaceutical commercial or media data (claims, prescriptions, CRM, hub, or media datasets).
Familiarity with AI/ML concepts and data preparation for modeling.
Experience using Python or R for analytics and data manipulation.
Understanding of pharma compliance, privacy, and data governance.
Previous experience working remotely with distributed, international teams across multiple time zones.
Strong analytical rigor and attention to detail
Business-oriented problem-solving mindset
Clear, concise communication skills
Comfort working with ambiguity and imperfect data
Curiosity and continuous learning mentality
Team-oriented and collaborative approach