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Remote Causal Inference Jobs in Montclair, NJ (NOW HIRING)

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Experience with A/B testing, causal inference, and experimental design * Ability to communicate ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · Remote

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... Hands-on experience with A/B testing, experimentation design, and causal inference approaches.

Kelaca

AI Transformation Lead

Manhattan, NY · Remote

US East Coast, remote-first with travel Type: Full-time, individual contributor Travel ... Exposure to causal inference, causal AI, or advanced analytics beyond standard machine learning.

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area ... Experience with A/B testing frameworks, causal inference, and experimentation platforms

Wand

Product Analyst

New York, NY · Remote

$145K - $175K/yr

Hex, dbt, and BigQuery experience * Causal inference methods (diff-in-diff, regression ... Fully remote work arrangement. * The chance to do unusually deep native work for an audience of 40M ...

Wand

Product Analyst

New York, NY · Remote

$145K - $175K/yr

Hex, dbt, and BigQuery experience * Causal inference methods (diff-in-diff, regression ... Fully remote work arrangement. * The chance to do unusually deep native work for an audience of 40M ...

Theirc

Research Associate

New York, NY · On-site +1

$80K - $95K/yr

... causal inference. * Demonstrated experience in data cleaning, management and analysis; with ... Standard office work environment This is a remote position open to internal candidates based in ...

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Remote Causal Inference information

See Montclair, NJ salary details

$16

$57

$83

How much do remote causal inference jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote causal inference in Montclair, NJ is $57.89, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $68.61 per hour, depending on experience, location, and employer.

What is a remote causal inference?

A Remote Causal Inference job involves using statistical and analytical methods to determine cause-and-effect relationships from data, often for fields like healthcare, social sciences, or business. Professionals in this role work remotely, leveraging tools such as R, Python, or specialized software to analyze experiments, observational studies, or large datasets. Their insights help organizations make data-driven decisions, design better interventions, and accurately measure the impact of policies or treatments. Strong skills in statistics, machine learning, and communication are essential for success in this position.

What are the key skills and qualifications needed to thrive as a remote causal inference specialist?

To thrive as a Remote Causal Inference Specialist, you need strong quantitative and statistical skills, a solid background in econometrics or data science, and typically an advanced degree in a related field. Proficiency with statistical programming languages such as R or Python, experience with causal inference frameworks like propensity score matching or instrumental variables, and familiarity with data visualization tools are crucial. Outstanding problem-solving abilities, clear communication, and self-motivation are essential soft skills for working independently and conveying complex results to non-technical stakeholders. These skills enable accurate, actionable insights from data, which drive evidence-based decision-making in remote, collaborative environments.

How does a remote causal inference specialist typically collaborate with cross-functional teams, and what tools are commonly used?

As a remote Causal Inference specialist, you’ll frequently work with data scientists, product managers, and engineers to design and interpret experiments, analyze observational data, and provide actionable insights. Collaboration usually happens through regular video meetings, shared documentation, and project management tools. Commonly used platforms include Slack or Microsoft Teams for communication, GitHub for code collaboration, and Jupyter Notebooks or RMarkdown for sharing reproducible analyses. These tools help ensure transparency and maintain strong teamwork despite the remote environment.

What job categories do people searching Remote Causal Inference jobs in Montclair, NJ look for?

The top searched job categories for Remote Causal Inference jobs in Montclair, NJ are:

What cities near Montclair, NJ are hiring for Remote Causal Inference jobs?

Cities near Montclair, NJ with the most Remote Causal Inference job openings:

Remote Causal Inference jobs near you
Infographic showing various Remote Causal Inference job openings in Montclair, NJ as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $120,419 per year, or $57.9 per hour.

Lead Data Scientist -- Growth & Experimentation

Fullscript

New York, NY • Remote

Full-time

Retirement, PTO

Re-posted 13 days ago

Job description

About Fullscript

We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
The Opportunity

We're hiring a Lead Data Scientist to be the analytics owner for one of Fullscript's fastest-growing segments.

This is a rare shape of role: the scope of a head of analytics with the autonomy of a senior IC. You'll partner directly with the GM, Finance, Product and Commercial leaders to answer the questions that determine where the business invests next. That starts with a deep understanding of who our customers are and how they actually use the product, and it runs through owning the experimentation engine that tests our bets.

The focus for this role is around using analytics to drive performance: understanding results, designing/executing experiments, and telling leadership what's true and what to do about it.

This role is a foundational hire - you'll shape how analytics operates in this segment, with the opportunity to grow the function over time.

What you'll do
  • Own experimentation (the heart of the role). Partner with Product and Commercial teams to design, run, and read growth experiments — from framing the hypothesis and sizing the test to calling the result and pushing the decision. Bring rigor (power analysis, causal inference, guardrail metrics) to a business moving fast.
  • Build the reporting backbone. Own the core dashboards and self-serve tooling the segment runs on, evolving an AI-augmented reporting stack that already automates much of the routine work. Your job is to make performance easy to understand for execs.
  • Generate insight, not just analysis. Break down revenue and margin performance into drivers - volume, mix, pricing, cohort behavior - and proactively tell us where growth is coming from, where it's leaking, and what to do next.
  • Keep the data foundation healthy. Manage the partnership with our central Data Engineering team to make sure the segment's core data models and pipelines support the analytics.
    Sharpen the forecast. Support Strategic Finance with driver-based revenue forecasting analytics, connecting operational signals to financial outcomes.
What you bring to the table
  • 6+ years in data science, growth analytics, or quantitative business roles, with real depth in experimentation and causal inference — you've designed and shipped tests that changed business decisions
  • Strong SQL and Python, and comfort working directly in large, imperfect datasets without a support team
  • A track record of operating autonomously: scoping ambiguous questions, prioritizing your own roadmap, and driving work to a decision without close management
  • Executive-grade communication: you can walk a GM through why a metric moved and what to do about it, in plain language
  • Strong business judgment: you understand how growth, product usage, and operational drivers connect to revenue and contribution margin
  • Customer obsession: you instinctively ground analysis in how real practitioners and patients use the product, and treat understanding their behavior as the source of good decisions
  • Experience in marketplace, eCommerce, SaaS, or healthcare businesses at scale
Bonus if you have
  • Experience partnering with FP&A or strategic finance teams
  • Experience building metric trees or driver-based performance frameworks
  • Hands-on use of AI tools (LLMs, agents) in your analytics workflow
  • Exposure to BI tools such as Sigma, Looker, Tableau, or Power BI
  • Experience mentoring or managing analysts
What we can offer you
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
  • Flexible PTO and competitive pay, because work-life balance matters
  • RRSP/401k match and competitive compensation packages to invest in your future
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts to save on high-quality wellness products
  • Continuous learning opportunities to grow your skills and career
Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.

What to Know Before You Apply

We’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.

A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.

Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at accommodations@fullscript.com.

All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.

We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.

Learn More
www.fullscript.com
@fullscriptHQ on instagram
@fullscript on YouTube
FullScript on LinkedIn

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.