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Contract Causal Inference Jobs (NOW HIRING)

IT FACE Inc.

PRODUCT DATA SCIENTIST

San Francisco, CA · On-site

Hybrid 3 Days Onsite / 2 Days WFH Contract: Long-Term Contract Time Zone: Pacific Time (PT ... Strong understanding of A/B testing, experimentation, and causal inference * Experience developing ...

New

University Of Florida

NY · On-site

The faculty member will actively seek contract and grant funding to support their program. The ... causal inference, optimization, and agentic AI systems to enable autonomous and human-centered ...

DocuSign

Senior Growth Data Scientist

San Francisco, CA · On-site +1

... in e-signature and contract lifecycle management (CLM). What you'll do We're looking for a ... Design, implement, and analyze experiments (A/B tests, causal inference) that inform product and ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

... Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like customer ... testing, and causal inference. * Strong skills in feature engineering, handling large-scale ...

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 ...

Socket.dev

... in e-signature and contract lifecycle management (CLM). What you'll do We're looking for a ... Design, implement, and analyze experiments (A/B tests, causal inference) that inform product and ...

Smart Data

15787 Data Scientist II

Cincinnati, OH · On-site +1

Remote EST/CST candidates will be considered Years of Experience: 3+ CONTRACT TO HIRE - MUST BE ... Familiarity with causal ML and/or causal inference methods (e.g., CATE, heterogeneous treatment ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Apply causal inference techniques (uplift modeling, difference-in-differences, synthetic controls ... Experience with B2B or ecommerce pricing, such as quote optimization, contract pricing, or price ...

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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.

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Contract Causal Inference jobs near you
Infographic showing various Contract Causal Inference job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 81% Full Time, 15% Part Time, and 1% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

PRODUCT DATA SCIENTIST

San Francisco, CA • On-site

IT FACE Inc.
1 - 10 employees
Learn more about IT FACE Inc.external

Other

Posted 3 days ago

New

Job description

PRODUCT DATA SCIENTIST HOME IMPROVEMENT LENDING

Location: San Francisco, CA

Work Model: Hybrid 3 Days Onsite / 2 Days WFH
Contract: Long-Term Contract
Time Zone: Pacific Time (PT)

POSITION OVERVIEW

We are looking for an experienced Product Data Scientist with strong Banking, FinTech, or Consumer Lending experience to work closely with Product Management and Engineering teams.

KEY RESPONSIBILITIES

  • Partner with Product Managers to translate business questions into actionable insights
  • Design, execute, and interpret A/B tests and quasi-experiments
  • Develop product metrics, funnel definitions, cohort frameworks, and analytical methodologies
  • Collaborate with Engineering teams on event tracking, instrumentation, and data quality
  • Build SQL and dbt models and support data pipelines for product analytics
  • Develop, validate, and monitor statistical and machine learning models
  • Perform propensity, conversion, segmentation, risk, and pricing analytics
  • Monitor product and experiment performance and identify business opportunities
  • Present analytical findings, insights, and recommendations to Product teams and senior stakeholders
  • Leverage AI and LLM tools for exploratory analysis and documentation with appropriate validation

REQUIRED SKILLS AND EXPERIENCE

  • 5+ years of experience in Data Science, Product Analytics, Applied Statistics, or a related field
  • Strong Banking, FinTech, Consumer Lending, or Financial Services experience
  • Advanced SQL skills
  • Strong Python or R programming experience
  • Strong understanding of A/B testing, experimentation, and causal inference
  • Experience developing and applying statistical and machine learning models
  • Experience with product funnels, cohorts, metrics, and product analytics
  • Experience with dbt, data pipelines, or data modeling
  • Strong communication and stakeholder management skills
  • Experience partnering closely with Product Management and Engineering teams

NICE TO HAVE

  • Home improvement lending or contractor financing experience
  • Credit, risk, or pricing modeling experience
  • Experience with Segment, mParticle, Amplitude, or similar product analytics platforms
  • Airflow or other data orchestration tools
  • Agile/Scrum experience
  • Generative AI or LLM experience

Apply