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Remote Data Science Neuroscience Jobs (NOW HIRING)

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced ... This role is fully remote and not tied to any specific office location. While there are no regular ...

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ...

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

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Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced ... This role is fully remote and not tied to any specific office location. While there are no regular ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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Remote Data Science Neuroscience information

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$41.5K

$142.5K

$201K

How much do remote data science neuroscience jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote data science neuroscience in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a remote data science neuroscience?

A Remote Data Science Neuroscience job involves using data science techniques, such as machine learning and statistical analysis, to interpret and analyze neuroscience data while working from a remote location. Professionals in this role typically work with large datasets from brain imaging, electrophysiology, or behavioral studies to uncover insights about brain function and neurological diseases. These positions require strong programming skills, knowledge of neuroscience concepts, and the ability to collaborate virtually with research teams. The remote aspect allows for flexibility in work location, making it accessible to a broader range of candidates.

What are the key skills and qualifications needed to thrive as a remote data science neuroscience professional?

To thrive as a Remote Data Science Neuroscience professional, you need a background in neuroscience and statistics, strong programming skills (especially in Python or R), and experience with data analysis techniques. Familiarity with tools such as machine learning frameworks (e.g., TensorFlow or scikit-learn), neuroimaging software (like SPM or FSL), and cloud-based collaboration platforms is typically required. Exceptional problem-solving, communication, and self-motivation are crucial for effectively working with interdisciplinary teams in a remote setting. These skills and qualities ensure accurate data interpretation, effective research collaboration, and successful project delivery in a complex and evolving field.

How do remote data science neuroscience professionals typically collaborate with multidisciplinary teams?

Remote data science professionals in neuroscience often work closely with neuroscientists, clinicians, and software engineers, using digital tools to facilitate communication and project management. Collaboration usually occurs through regular virtual meetings, shared data repositories, and collaborative coding platforms. This setup requires strong communication skills and the ability to translate complex analytical findings into actionable insights for team members from diverse backgrounds. Building strong virtual relationships and maintaining clear documentation are key to ensuring project success and smooth cross-functional collaboration.
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Cities with the most Remote Data Science Neuroscience job openings:

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The most popular types of Data Science Neuroscience jobs are:

What states have the most Remote Data Science Neuroscience jobs?

States with the most job openings for Remote Data Science Neuroscience jobs include:

Infographic showing various Remote Data Science Neuroscience job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
The Knot Worldwide
Traveler Accommodation • 1 - 5K employees

Full-time

Re-posted 11 days ago


Job description

ABOUT THE ROLE AND OUR TEAM:The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable business outcomes - including growth in couple engagement, marketplace liquidity, vendor ROI, and long-term customer value.

You will own the company's experimentation strategy and enterprise BI function, ensuring executives and frontline teams alike have trusted, actionable insights. This role will partner closely with data engineering to build reliable, scalable end-to-end data pipelines that power experimentation, analytics, and executive reporting.

You will be the architect of our measurement engine - turning data into durable competitive advantage in a complex, two-sided marketplace. This is a highly visible leadership role reporting to the CPO and partnering across Product, Engineering, Finance, Marketing, and Sales.

RESPONSIBILITIES:Experimentation & Measurement
  • Define and scale experimentation strategy across a complex two-sided marketplace (couples and vendors).
  • Ensure rigorous A/B testing, incrementality measurement, and causal inference across growth, monetization, ranking, and lifecycle initiatives.
  • Build frameworks that account for cross-side marketplace effects and long-term LTV impact.
  • Establish clear accountability for experimentation outcomes tied to business performance.
Enterprise BI & Analytics
  • Own executive dashboards and enterprise reporting from Board-level metrics to team-level KPIs.
  • Develop and maintain a trusted metrics layer with clear governance and definitions.
  • Improve forecasting, driver trees, and performance diagnostics tied to CPAs, GMV, and marketplace health.
  • Enable scalable self-serve analytics capabilities across the organization.
Advanced Data Science
  • Lead applied data science across personalization, marketplace dynamics, pricing, segmentation, and lifecycle modeling.
  • Develop robust LTV and marketplace health models.
  • Partner with ML teams to ensure strong model evaluation and business impact measurement.
Cross-Functional Partnership
  • Partner closely with Data Engineering to design scalable experimentation infrastructure and data pipelines.
  • Influence architecture decisions without directly owning DE.
  • Serve as a strategic advisor to executive leadership on data-driven growth strategy.
SUCCESSFUL CANDIDATES HAVE: Experience
  • 15+ years in Data Science, Analytics, or quantitative leadership roles.
  • Experience leading BI and analytics in a large, global organization.
  • Demonstrated success operating within a two-sided marketplace or platform business.
  • Proven experience owning experimentation strategy and delivering measurable business impact.
  • Experience partnering with C-suite and Board stakeholders.
Technical Expertise
  • Deep knowledge of experimental design, causal inference, and statistical modeling.
  • Experience building scalable experimentation and analytics ecosystems.
  • Strong fluency in SQL and modern data tools (e.g., Snowflake, Looker, Sigma, Tableau).
  • Strong understanding of marketplace unit economics and LTV modeling.
Leadership
  • Experience building and scaling high-performing Data Science and Analytics teams.
  • Strong cross-functional collaboration skills in matrixed environments.
  • Ability to translate complex quantitative analysis into clear business insights.

WORK MODEL:

This role is fully remote and not tied to any specific office location. While there are no regular in-office requirements, we encourage our remote team members to gather intentionally for key company and team events to stay connected and engaged.

#LI-Hybrid #executive-track