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Contract Causal Inference Jobs in New York (NOW HIRING)

Pinterest, Inc.

Sr. Data Scientist

Manhattan, NY · On-site

$226K - $287K/yr

Expertise in causal inference for observational analyses, including methods such as propensity ... contracts, and lineage, to ensure consistency and reliability. * Experience building scalable ...

New

fphny

Sr. Research Advisor

Astoria, NY · On-site +1

$100/hr

Expertise in quantitative research methods, including causal inference (e.g. propensity score ... This does not constitute a contract of employment. Residency Requirement: You must live in the New ...

Stash

Senior Data Scientist

New York, NY · On-site

Strong foundation in experimental design, causal inference, and applied machine learning ... contracts when measurement depends on them. * Communication: Excellent written and verbal ...

Stash

Senior Data Scientist

New York, NY · Hybrid

Strong foundation in experimental design, causal inference, and applied machine learning ... contracts when measurement depends on them. * Communication: Excellent written and verbal ...

Kelaca

AI Transformation Lead

Manhattan, NY · Remote

Faster time-to-value by accelerating customers from contract signature to first deployed digital ... Exposure to causal inference, causal AI, or advanced analytics beyond standard machine learning.

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 ... Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems

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 ... Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems

Varsity Tutors

LSAT Logical Reasoning Tutor

Hoboken, NJ · Remote

$26 - $40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

LSAT Logical Reasoning Tutor

Elizabeth, NJ · Remote

$26 - $40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

LSAT Logical Reasoning Tutor

Clifton, NJ · Remote

$26 - $40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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All JobsContract Causal Inference JobsContract Causal Inference Jobs in New York

Contract Causal Inference information

What is a contract causal inference specialist?

A Contract Causal Inference specialist is a professional who applies statistical and analytical methods to determine cause-and-effect relationships within data, typically on a contractual or project basis. These specialists are often brought in to analyze business, healthcare, or social science data to help organizations make evidence-based decisions. They use techniques such as randomized controlled trials, regression analysis, and propensity score matching to isolate causal impacts. Contract roles are usually temporary and focused on specific projects or questions. This position requires strong statistical knowledge, programming skills, and the ability to communicate findings to non-technical stakeholders.

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

To thrive as a Contract Causal Inference Specialist, you need a strong background in statistics, econometrics, or data science, typically with an advanced degree in a quantitative field. Proficiency with statistical software like R, Python, and specialized causal inference packages, as well as experience with data wrangling tools, is essential. Exceptional analytical thinking, clear communication, and attention to detail are valuable soft skills for interpreting results and collaborating with clients. These competencies are vital for delivering robust, actionable insights that drive evidence-based decision-making in a contractual setting.

What are some common challenges faced by professionals in contract causal inference roles, and how can they be addressed?

Professionals in contract causal inference roles often encounter challenges such as working with incomplete or messy datasets, ensuring the validity of assumptions in causal models, and effectively communicating complex findings to stakeholders. Addressing these issues typically involves using robust statistical techniques, performing thorough data cleaning, and engaging in transparent documentation of the modeling process. Additionally, collaborating closely with subject matter experts and stakeholders can help clarify project goals and improve the relevance and impact of your analyses.

What is the difference between Contract Causal Inference vs Data Analyst?

AspectContract Causal InferenceData Analyst
Required CredentialsStatistics, Data Science, or related certifications; often advanced degreesBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, project-based, often in consulting or academiaBusiness environments, analyzing data to inform decisions
Employer & Industry UsageResearch institutions, consulting firms, tech companiesCorporations, marketing agencies, finance, healthcare
Search & Comparison IntentUnderstanding causal relationships, research projectsData analysis, reporting, business insights

Contract Causal Inference specialists focus on identifying cause-and-effect relationships through research and statistical methods, often in consulting or academic settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Contract Causal Inference emphasizes causal modeling and research, whereas Data Analysts focus on descriptive and diagnostic analysis.

What are the most commonly searched types of Causal Inference jobs in New York?

The most popular types of Causal Inference jobs in New York are:

What are popular job titles related to Contract Causal Inference jobs in New York?

For Contract Causal Inference jobs in New York, the most frequently searched job titles are:

What job categories do people searching Contract Causal Inference jobs in New York look for?

The top searched job categories for Contract Causal Inference jobs in New York are:

What cities in New York are hiring for Contract Causal Inference jobs?

Cities in New York with the most Contract Causal Inference job openings:

Contract Causal Inference jobs near you

Staff Data Scientist - Product Analytics

Ironclad

Manhattan, NY • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business.
We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. We're backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit or follow us on LinkedIn.
This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.
About the Role
As a Staff Product Analytics Data Scientist, you will be the analytical backbone of how Ironclad understands, measures, and improves its product. You'll turn raw product usage and contract data into a deep, quantitative understanding of how customers adopt our platform and our AI and you'll translate that understanding into decisions that shape the roadmap.
This is a builder's role. Our team owns its own data end to end: we model and maintain our own dbt pipelines, mine large and messy datasets for signal, and partner closely with Product and Engineering to ship data products that put insight directly into customers' and teammates' hands. You'll wear a product analytics hat most days, an analytics engineering hat when the pipeline needs it, and a data science hat when a problem calls for experimentation, causal inference, or modeling. As a Staff-level individual contributor, you'll set analytical direction, raise the technical bar across the team, and influence senior stakeholders without formal authority.
What You'll Do
  • Own product understanding. Define, instrument, and analyze the metrics that describe how customers adopt, retain, and get value from Ironclad-funnels, activation, feature adoption (including our AI features like Jurist), engagement, and retention-and make them trustworthy and self-serve.
  • Drive experimentation and causal analysis. Design and analyze A/B tests and quasi-experiments; apply causal inference where clean experiments aren't possible; and give Product and Engineering clear, defensible reads on what actually moved the needle.
  • Mine data for opportunity. Explore large, complex product and contract datasets to surface non-obvious patterns, quantify opportunities, and generate hypotheses that shape strategy-not just answer questions that were already asked.
  • Build and evolve data products. Partner with Product and Engineering to turn analysis into shipped features-embedded analytics, benchmarks, insights, and AI-powered experiences-that deliver value directly to customers and internal teams.
  • Wear the analytics engineering hat. Own and extend the dbt models and transformations that power your work. Because our team owns its pipelines, you'll design scalable, well-documented, well-tested data models and uphold consistent definitions across the warehouse and BI layer.
  • Architect AI-ready data. Leverage AI to accelerate your own pipeline and analysis work, and structure our data assets, documentation, and metadata so that both humans and LLMs can navigate them with high confidence and minimal hallucination.
  • Set the bar and mentor. Provide technical direction, code and analysis reviews, and mentorship to analysts, data scientists, and analytics engineers-fostering a culture of rigor, collaboration, and impact.
  • Influence senior stakeholders. Bring clarity to ambiguous, high-stakes product questions and communicate findings in a way that drives alignment and action across Product, Engineering, and leadership.
  • Self-serve enablement: Design and scale self-serve analytics ecosystems, semantic layers, and clear data documentation that empower non-technical stakeholders to answer their own data questions with confidence.

What We're Looking For
  • 8+ years of experience in product analytics, data science, or a closely related quantitative field, including demonstrated impact at a senior or staff level (ideally at a B2B SaaS company).
  • Deep expertise in product analytics: experimentation and A/B testing, funnel and retention analysis, causal inference, and defining product metrics that stand up to scrutiny.
  • Advanced SQL, plus fluency in Python or R for analysis, statistics, and modeling.
  • You can own dbt models, data modeling, and ELT best practices, and you're comfortable being the person who fixes the pipeline rather than filing a ticket.
  • A track record of partnering with Product and Engineering to ship data products or data-informed features, not just deliver dashboards and reports.
  • Strong data mining and exploratory instincts: you find the signal in large, messy datasets and know which findings are worth acting on.
  • Experience (or strong interest) in AI-assisted development and "AI-ready" data-using tools like Cursor or Claude Code, and writing documentation and metadata that help humans and LLMs work with data reliably.
  • Familiarity with a modern data stack such as Segment, Fivetran, BigQuery, dbt, Airflow, Looker, and exploration tools like Hex (or their equivalents).
  • A self-starter who leads initiatives end to end, communicates with clarity, and bridges technical work and business impact.

Base Salary Range: $180,000 - $220,000 offers company bonus
The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.
US Full-Time Employee Benefits at Ironclad:
  • 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
  • Market-leading leave policies, including gender-neutral parental leave and compassionate leave
  • Family forming support through Maven for you and your partner
  • Paid time off - take the time you need, when you need it
  • Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
  • Mental health support through Modern Health, including therapy, coaching, and digital tools
  • Pre-tax commuter benefits (US Employees)
  • 401(k) plan with Fidelity with employer match (US Employees)
  • Regular team events to connect, recharge, and have fun
  • And most importantly: the opportunity to help build the company you want to work at

**UK Employee-specific benefits are included on our UK job postings
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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