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Remote Data Scientist Jobs in Ridgefield, CT (NOW HIRING)

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Gartner

Data Analyst

Stamford, CT · On-site +1

Collaborate with the Information Technology team and data scientists to ensure data quality ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Arvinas

DMPK Scientist

New Haven, CT · On-site +1

... New Haven, CT or a remote role based within the U.S. Principal Responsibilities Key ... key data as part of the IND enabling activities. * Recommend stage appropriate clinical DDI ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

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Be Seen First

Data Analyst

Greenwich, CT · Remote

$22 - $23/hr

... Science, Information Systems, or a related technical discipline preferred, not required. Preferred ... Remote Job Type : Full-Time hourly (non- exempt) EB Employee Solutions, LLC is an Equal Opportunity ...

Deloitte

GCP Manager

Stamford, CT · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Icon Health

Senior Data Analyst

Stamford, CT · On-site +1

$91K - $115K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce ...

Icon Health

Senior Data Analyst

Stamford, CT · Remote

$88K - $111K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce ...

Icon Health

Senior Data Analyst

Stamford, CT · Remote

$91K - $115K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce ...

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All JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Ridgefield, CT

Remote Data Scientist information

See Ridgefield, CT salary details

$37.3K

$122.2K

$195.7K

How much do remote data scientist jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote data scientist in Ridgefield, CT is $122,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,400.00 per year, depending on experience, location, and employer.

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?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, 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.

More about Remote Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Ridgefield, CT? The most popular types of Data Scientist jobs in Ridgefield, CT are:
What are popular job titles related to Remote Data Scientist jobs in Ridgefield, CT? For Remote Data Scientist jobs in Ridgefield, CT, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Ridgefield, CT look for? The top searched job categories for Remote Data Scientist jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Remote Data Scientist jobs? Cities near Ridgefield, CT with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Ridgefield, CT as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,241 per year, or $58.8 per hour.
Data Scientist Manager - Remote

Data Scientist Manager - Remote

Penfield Search Partners

Fairfield, CT • On-site, Remote

Other

Posted 9 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Position Summary We are seeking a strategic and analytically driven professional to support Medical Affairs through advanced analytics, insight generation, and data-informed decision making. This individual will play a key role in transforming complex data into actionable business insights that support launch readiness, engagement strategy, and overall Medical Affairs effectiveness. The ideal candidate combines strong analytical and technical expertise with the ability to communicate findings in a compelling and impactful way to cross-functional stakeholders

Key Responsibilities Insights Analysis Analyze insights collected across Medical Affairs data sources to identify trends, patterns, and stakeholder sentiment. Synthesize findings into actionable recommendations that support strategic decision-making across cross-functional teams. Deliver clear and concise reporting to support business objectives and organizational priorities.

Strategic Storytelling & Communication Present insights, business impact, and strategic recommendations in a compelling, story-driven format to key stakeholders and leadership teams. Translate complex analytical findings into meaningful business narratives that influence decision-making. Data-Informed Strategy & Analytics Support Medical Affairs teams with data, tools, and analytical models that inform prioritization, planning, and engagement strategy.

Conduct ad hoc analyses to support launch preparation, strategic planning, channel engagement optimization, and Medical Expert (ME) identification and segmentation. Contribute to initiatives that enable successful product launches and ongoing business performance optimization. Metrics & Impact Tracking Track, measure, and report Medical Affairs metrics and performance against established targets.

Develop and define innovative approaches for measuring impact and business value. Identify trends and performance gaps requiring strategic course correction or optimization. Cross-Functional Collaboration Partner closely with Medical Affairs stakeholders to understand business needs and develop analytical capabilities that support organizational goals.

Collaborate with IT and other cross-functional teams on infrastructure, systems, tools, models, and reporting capabilities. Requirements Gathering & Process Support Work closely with IT teams to translate business requirements into clear, concise user stories and technical requirements. Support the development and enhancement of scalable analytics solutions and processes.

Dashboard Development & Reporting Partner with IT and technical teams to develop automated, real-time dashboards integrating multiple data sources to support insight generation and impact assessment. Ensure reporting tools provide meaningful, user-friendly visibility into Medical Affairs performance metrics. Therapeutic Area & Market Knowledge Develop and maintain expertise in relevant therapeutic areas, including respiratory disease states, as well as knowledge of Insmed and competitor products to support accurate interpretation of data and market insights.

Launch Planning Support Provide analytics, insights, and strategic support related to product launch planning and execution. Qualifications Bachelor's or Master's degree in Data Science, Analytics, Business Analytics, Statistics, Computer Science, or a related quantitative field required. Advanced degree preferred (MBA, MS, PhD), or Life Sciences qualification (e.g., PharmD) combined with strong analytics and data experience

Experience supporting Medical Affairs analytics, insights generation, and launch-related initiatives within the pharmaceutical or biotechnology industry preferred. Strong experience with SQL, Qlik, Snowflake, Python, and advanced Excel required. Experience developing dashboards, reporting solutions, and analytical models using multiple data sources.

Strong business acumen with the ability to communicate analytical findings to both technical and non-technical audiences. Proven ability to work collaboratively across cross-functional teams in a fast-paced environment. Excellent presentation, communication, and storytelling skills with the ability to influence stakeholders and drive strategic discussions.

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