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Remote Statistics Jobs in Norwalk, CT (NOW HIRING)

3ds

Implementation Consultant (Remote)

New York, NY · On-site +1

... statistical analysis * Strong understanding of those associated specifications, and ability to ... Remote Equal Employment Opportunity : In order to provide equal employment and advancement ...

3ds

Implementation Consultant (Remote)

New York, NY · On-site +1

... statistical analysis * Strong understanding of those associated specifications, and ability to ... Remote Equal Employment Opportunity : In order to provide equal employment and advancement ...

3ds

Implementation Consultant (Remote)

New York, NY · On-site +1

This is a hybrid remote/in-office role. Medidata follows a hybrid office policy in which employees ... statistical analysis * Strong understanding of those associated specifications, and ability to ...

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Remote Statistics information

See Norwalk, CT salary details

$40.7K

$84K

$117.4K

How much do remote statistics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote statistics in Norwalk, CT is $83,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $116,400.00 per year, depending on experience, location, and employer.

What is a remote statistics?

A Remote Statistics job involves analyzing data, interpreting trends, and applying statistical methods to solve problems from a remote location. Professionals in this role work in various industries such as healthcare, finance, and technology. They use statistical software, programming languages like R or Python, and data visualization tools to support decision-making. Remote statisticians may work for companies, research institutions, or as independent consultants. Strong analytical skills, attention to detail, and the ability to communicate findings effectively are essential for success in this field.

What does a remote statistics do?

Remote statisticians spend much of their day collecting, cleaning, and analyzing complex data sets to support organizational objectives. They use statistical software to identify trends, test hypotheses, and produce data reports or visualizations, often collaborating virtually with teams such as data scientists, business analysts, or project managers. Regular responsibilities may also include preparing presentations, explaining statistical findings to non-technical stakeholders, and ensuring data accuracy and confidentiality. Effective remote communication and independent time management are key to meeting project deadlines and contributing valuable insights from a home or remote office setting.

What are the key skills and qualifications needed to thrive in the remote statistics position, and why are they important?

To thrive in a Remote Statistics role, you need strong statistical analysis skills, proficiency in mathematics, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, along with experience using data visualization tools, is often essential. Excellent communication, self-motivation, and time management help remote statisticians succeed in a distributed work environment. These capabilities enable accurate analysis, effective collaboration, and the ability to work independently while delivering meaningful insights to employers.

What are popular job titles related to Remote Statistics jobs in Norwalk, CT?

For Remote Statistics jobs in Norwalk, CT, the most frequently searched job titles are:

What job categories do people searching Remote Statistics jobs in Norwalk, CT look for?

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What cities near Norwalk, CT are hiring for Remote Statistics jobs?

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Remote Statistics jobs near you

Senior Cybersecurity Data Science & Analytics Lead (Remote)

TSG Risk Management

New York, NY • Remote

$165K - $205K/yr

Full-time

Posted 9 days ago

Job description

Location: New York City preferred. Candidates located near other major offices, including Charlotte, NC, Los Angeles, CA, and Southern California, will also be considered. Remote candidates are welcome to apply but should be open to periodic travel, potentially once per month, to New York City or another company office.

Work Model: Flexible hybrid or remote

Position Overview

We are seeking a senior-level Cybersecurity Data Science and Analytics Lead to help shape and scale how security data is used across the organization.

This role goes beyond building dashboards. The ideal candidate will partner directly with cybersecurity subject matter experts to understand complex security challenges, frame the right analytical questions, and develop solutions that provide meaningful, actionable insights.

The successful candidate will bring a strong combination of cybersecurity domain knowledge, data science experience, product thinking, and the ability to lead work independently. This individual should be comfortable challenging assumptions, recommending solutions, and translating security needs into scalable analytical products.

Responsibilities

  • Partner with cybersecurity and technology stakeholders to identify, frame, and solve complex analytical problems.
  • Translate security challenges into clear data science, analytics, and engineering solutions.
  • Develop analytical products that support meaningful business and security decisions.
  • Move beyond traditional dashboard delivery by creating reusable data products, self-service capabilities, and scalable analytical solutions.
  • Help determine the best delivery model for security analytics, including dashboards, reusable datasets, advanced analytics, and potential AI-enabled solutions.
  • Provide analytical support across application security and infrastructure security domains.
  • Evaluate security data and determine the appropriate analysis, methodology, and delivery approach.
  • Build trusted relationships with security subject matter experts through practical, applied cybersecurity knowledge.
  • Lead projects independently and take ownership of solutions from initial problem definition through delivery.
  • Communicate findings, recommendations, and technical decisions clearly to technical teams and senior leadership.
  • Contribute to the continued development of the organization's cybersecurity data and analytics strategy.

Required Qualifications

  • Approximately 10 or more years of relevant professional experience, with flexibility based on the depth and quality of the candidate's background.
  • Strong applied cybersecurity experience, particularly within application security and infrastructure security.
  • Advanced data science, analytics, or statistical analysis experience.
  • Experience working with CI/CD toolchains and secure software development lifecycle practices.
  • Knowledge of SaaS and data-as-a-service environments.
  • Experience with cloud-native monitoring and security tools.
  • Familiarity with endpoint protection technologies.
  • Ability to work with security data, frame analytical problems, and determine the appropriate analysis or solution.
  • Experience developing scalable analytical products rather than only producing one-time reports or dashboards.
  • Strong communication and stakeholder-management skills.
  • Ability to work independently, take ownership, and lead projects with limited direction.
  • Experience presenting technical findings and recommendations to leadership.

Preferred Qualifications

  • Experience designing reusable data products or self-service analytics capabilities.
  • Experience applying AI or machine learning to analytics or cybersecurity use cases.
  • Background supporting enterprise information security or CISO organizations.
  • Experience working across cybersecurity engineering and data science teams.
  • Product management or analytical product development experience.
  • Knowledge of security data associated with cloud platforms, applications, infrastructure, and endpoints.