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Contract Causal Inference Jobs (NOW HIRING)

ConfigUSA

Data Scientist

Saint Louis, MO · On-site

St Louis, MO - Onsite Position Duration: 6 months GC/USC Highly Preferred - Potential contract to ... causal inference with observational data, and using mathematical optimization to find the most ...

Apple

Staff Data Scientist

Sunnyvale, CA

$203K - $305K/yr

... causal inference methodologies across large, complex data sets - Develop AI-native automated ... data contracts. Familiar with MLOps: CI/CD for models, Kubernetes, feature stores Minimum ...

Apple

Staff Data Scientist

Sunnyvale, CA · On-site

... causal inference methodologies across large, complex data sets - Develop AI-native automated ... contracts. Familiar with MLOps: CI/CD for models, Kubernetes, feature stores

Dine Development Corporation

Senior Data Scientist

... on causal inference, Bayesian methods, model risk management, model cards, and ethical AI practices. You will ensure all models and analytics products align with the contract's Acceptable Quality ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level ... with causal inference methods (e.g., Bayesian networks, structural causal models) Experience ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level ... causal inference methods (e.g., Bayesian networks, structural causal models) • Experience ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level ... causal inference methods (e.g., Bayesian networks, structural causal models) • Experience ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Contract * Lead the development and deployment of machine learning models and analytical solutions ... Strong knowledge of statistics experimental design and causal inference. * Handson experience with ...

Kforce Technology Staffing

Data Scientist

Brooklyn, NY · On-site

Conduct advanced analytics, including causal inference and statistical modeling * Support A/B ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

NextDeavor Inc.

Lifecycle Marketing Analyst

San Jose, CA · On-site

$73.24 - $91.55/hr

Lifecycle Marketing Analyst Full-time San Jose, CA, US You'll be joining Adobe on a contract ... causal inference) * Hands-on SQL required; Python or R preferred * Experience building reporting ...

Tanisha Systems, Inc.

AI Scientist

Menlo Park, CA · On-site

AI Scientist Location - Menlo Park, CA (Onsite Day 1) Hybrid- 4 days WFO Contract role Immediate ... Drive experimentation frameworks (A/B testing, causal inference) to continuously optimize ...

Jobgether

Design and analyze experiments, including A/B tests and causal inference studies, to evaluate ... Competitive B2B contract arrangement. * 22 days of paid time off in addition to public holidays.

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

This position is contingent upon contract award. Essential Functions: * Use advanced data ... Continuing education in econometrics, causal inference, or data visualization tools strongly ...

University of Miami

Data Analyst 3

Coral Gables, FL

The work is primarily quantitative: cleaning and analyzing data, implementing causal inference ... Serve as Project Coordinator for data contracts the department has entered with public and private ...

The University of Miami

Data Analyst 3

Coral Gables, FL · On-site

The work is primarily quantitative: cleaning and analyzing data, implementing causal inference ... Serve as Project Coordinator for data contracts the department has entered with public and private ...

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All JobsContract Causal Inference Jobs

Contract Causal Inference information

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 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, and why are they important?

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 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

Data Scientist

ConfigUSA

Saint Louis, MO • On-site

Contractor

Posted 14 days ago

Job description

Location: St Louis, MO - Onsite Position

Duration: 6 months

GC/USC Highly Preferred - Potential contract to hire position.

Competencies:   5+ years experience required

Digital : Databricks

Job Summary:    The Data Scientist builds analytical products to improve business processes. These products include using algorithms for automation, building predictive models, designing experiments, attempting causal inference with observational data, and using mathematical optimization to find the most profitable business policies. The Data Scientist works with technical and non-technical members of the company to help oversee the creation and adoption of analytical products.

Work and Skill Experience Required/Preferred

Required:

•       Must have Master’s degree in Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)

•       Must have 2+ years of experience with predictive models, statistical inference, and/or other forms of quantitative analysis

•       Must have experience using libraries like Tensorflow and Pytorch

•       Must have experience preparing and giving presentations to technical and non-technical audiences

•       Must have proficiency in R or Python

•       Must be authorized to work in United States and not required work authorization sponsorship by our company for this position now or in the future. (Green Card or US Citizens only)

Preferred:

•       Doctorate degree in Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)

•       Experience designing experiments

•       Experience exploring and visualizing data

•       Experience using Linux/Unix

•       Experience using SQL

•       Experience working with data (merging, recoding, etc.) from a variety of sources/formats

•       Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)

Roles & Responsibilities

•       Work with the team to design and deliver analytical solutions

•       Extract, clean, and manipulate both structured and unstructured data

•       Perform exploratory data analysis

•       Develop predictive models

•       Design and oversee the execution of experiments

•       Use observational data for causal inference

•       Deliver documentation including descriptions of efforts, results, and recommendations

•       Make presentations to team members and other business units

•       Partner with the other teams to bring solutions to life

•       Seek to improve job performance through self-assessment, skill development, training and goal setting

•       Maintain a regular and reliable level of attendance and punctuality

•       Perform miscellaneous job-related duties as assigned

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily, including any physical demands. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform essential job functions.

Generic Managerial Skills:

Liaison with Customer IT & Business Team. Good Communication & Presentation Skills, Ethics and Values, Forward-Thinking, Problem Solving and Results-Oriented