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Causal Inference Machine Learning Postdoctoral Jobs in New York

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$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.

Grubhub

Senior Staff Data Scientist

New York, NY · On-site

Experience defining strategy and technical roadmaps for data science, machine learning, experimentation, or causal inference platforms. Our hybrid model requires 3 days a week in the office. That ...

Roku

Senior Research Data Scientist

New York, NY · On-site

$330K - $375K/yr

PhD in Economics, Econometrics, Statistics, or a closely related quantitative field with a strong emphasis on causal inference * 10+ years of experience applying causal inference and machine learning ...

SupportFinity™

Research Scientist

Manhattan, NY · On-site

$120 - $210/hr

Design and implement novel machine learning models and methods for self-supervised learning, survival analysis, multi-modal learning, causal inference and interpretability. * Translate machine ...

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Causal Inference Machine Learning Postdoctoral information

What is a causal inference machine learning postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a causal inference machine learning postdoctoral researcher?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by causal inference machine learning postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

Is it difficult to get a causal inference machine learning postdoctoral position?

Securing a causal inference machine learning postdoctoral position can be competitive due to specialized skills required, such as expertise in statistical methods, programming (e.g., Python or R), and a strong research background. Candidates with relevant publications, strong recommendations, and experience in machine learning frameworks often have better chances, but the availability of such positions varies by institution and funding.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in New York?

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

What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in New York look for?

The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in New York are:

What cities in New York are hiring for Causal Inference Machine Learning Postdoctoral jobs?

Cities in New York with the most Causal Inference Machine Learning Postdoctoral job openings:

Causal Inference Machine Learning Postdoctoral jobs near you

Machine Learning Engineer

Aston Carter

Manhattan, NY • On-site

$125/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Key responsibilities

  • Evaluate complex analytical and machine learning scenarios for technical accuracy, scalability, and business relevance.

  • Develop, validate, and refine statistical models, predictive analyses, and data-driven solutions for real-world business problems.

  • Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows.

Job description

REMOTE Machine Learning Engineer
Job Description
This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to evaluate complex machine learning scenarios and real-world business use cases. You will develop and validate models, review analytical workflows, and provide expert guidance to ensure solutions are technically sound, scalable, and aligned with practical applications, all within a fully remote and flexible engagement.
Responsibilities
  • Evaluate complex analytical and machine learning scenarios for technical accuracy, scalability, and business relevance.
  • Develop, validate, and refine statistical models, predictive analyses, and data-driven solutions that address real-world business problems.
  • Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows.
  • Design realistic business and analytics use cases based on professional experience and industry best practices.
  • Assess modeling approaches, underlying assumptions, and analytical methodologies to ensure robustness and reliability.
  • Create clear, structured documentation and explanations for complex statistical and machine learning concepts.
  • Identify opportunities to improve analytical processes, outputs, and decision-support frameworks across projects.
  • Collaborate within structured project guidelines while managing tasks independently and proactively.
  • Maintain consistent quality, accuracy, and productivity throughout the engagement.
  • Provide expert insights on machine learning, deep learning, NLP, experimentation, forecasting, and model validation to support next-generation analytical and intelligent systems.
  • Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.

Essential Skills
  • 5+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, Quantitative Research, Data Engineering, or related fields.
  • Strong proficiency in Python and/or SQL for data analysis, modeling, and workflow development.
  • Hands-on experience developing, evaluating, or deploying analytical and machine learning models.
  • Solid understanding of core machine learning concepts and statistical methodologies.
  • Ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • Strong written communication skills for documentation and analytical reporting.
  • Comfort working independently in a fully remote environment.
  • Availability for approximately 30-40+ hours per week throughout the engagement.

Additional Skills & Qualifications
  • Experience with deep learning techniques and frameworks.
  • Experience in Natural Language Processing (NLP) applications and methodologies.
  • Data Engineering experience, including building and maintaining data pipelines and analytical workflows.
  • Hands-on experience with A/B testing, experimentation design, and causal inference approaches.
  • Forecasting and time series analysis experience for predictive modeling.
  • Data visualization skills and familiarity with business intelligence concepts and tools.
  • Experience with model validation, performance evaluation, and ongoing model monitoring.
  • Quantitative research experience, including rigorous analytical design and interpretation.
  • Experience as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to strategic technology initiatives.
  • Ability to align analytical and intelligent systems with real-world applications and business objectives.

Work Environment
This is a fully remote, project-based consulting engagement that offers a flexible schedule and is best suited for professionals available 30-40+ hours per week. You will work independently within structured project guidelines, focusing on challenging, real-world analytical problems without the distractions of production support, extensive stakeholder management, or corporate bureaucracy. The environment emphasizes autonomy, meaningful technical challenges, and the opportunity to contribute to innovative AI-focused initiatives while enjoying the flexibility and focus that consulting work provides
Job Type & Location
This is a Contract position based out of New York, NY.
Pay and Benefits
The pay range for this position is $125.00 - $125.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Sep 11, 2026.
About Aston Carter
Aston Carter provides world-class corporate talent solutions to thousands of clients across the globe. Specialized in accounting, finance, human resources, talent acquisition, procurement, supply chain and select administrative professions, we extend the capabilities of industry-leading companies. We draw on our deep recruiting expertise and expansive network to meet the evolving needs of our clients and talent community with agility and excellence. With offices across the U.S., Canada, Asia Pacific and Europe, Aston Carter serves many of the Fortune 500. We are proud to be a ClearlyRated Best of Staffing® Platinum Award winner for both client and talent service.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email astoncarteraccommodation@astoncarter.com for other accommodation options.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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About Aston Carter

Sourced by ZipRecruiter

At Aston Carter, we're dedicated to expanding career opportunities for the skilled professionals who power our business. Our success is driven by the talented, motivated people who join our team across a range of positions - from recruiting, sales and delivery to corporate roles. As part of our team, employees have the opportunity for long-term career success, where hard work is rewarded and the potential for growth is limitless. Established in 1997, Aston Carter is a leading staffing and consulting firm, providing high-caliber talent and premium services to more than 7,000 companies across North America. Spanning four continents and more than 200 offices, we extend our clients' capabilities by seeking solvers and delivering solutions to address today's workforce challenges. For organizations looking for innovative solutions shaped by critical-thinking professionals, visit AstonCarter.com. Aston Carter is a company within Allegis Group, a global leader in talent solutions.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Hanover, MA, US

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