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Causal Inference Machine Learning Postdoctoral Jobs in Massachusetts

Whoop

Senior Research Scientist

Boston, MA

$107K - $136K/yr

Proficiency in statistical modeling and/or machine learning methods and demonstrated experience ... causal inference * Ability to work across disciplines and communicate effectively with both ...

Whoop

Senior Research Scientist

Boston, MA · On-site

$107K - $136K/yr

Proficiency in statistical modeling and/or machine learning methods and demonstrated experience ... causal inference * Ability to work across disciplines and communicate effectively with both ...

Whoop

Senior Research Scientist

Boston, MA · On-site

$107K - $136K/yr

Proficiency in statistical modeling and/or machine learning methods and demonstrated experience ... causal inference * Ability to work across disciplines and communicate effectively with both ...

Whoop

Senior Research Scientist

Boston, MA

$107K - $136K/yr

Proficiency in statistical modeling and/or machine learning methods and demonstrated experience ... causal inference * Ability to work across disciplines and communicate effectively with both ...

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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, and why are they important?

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.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Massachusetts? For Causal Inference Machine Learning Postdoctoral jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Massachusetts look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Massachusetts are:
What cities in Massachusetts are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Massachusetts with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you

Director, Data Science and AI

Publicis Groupe Holdings B.V

Wakefield, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Overview

Epsilon's Data Science & AI (DSAI) practice within Analytics Services team is seeking a Director of Analytics to lead the delivery of advanced analytics and AI solutions that drive measurable business impact for our clients.

In this role, you will partner closely with analytics consulting, strategy, and client service teams to translate complex business challenges into actionable data science and AI solutions. You will lead global onshore and offshore data science teams to deliver high-impact solutions while ensuring alignment with client objectives.

This role requires strong leadership and the ability to connect business strategy with advanced analytics and AI capabilities within a cross-functional, customer-focused environment.  

Responsibilities
  • Partner with analytics consulting, strategy, and client service teams to translate business needs into data science and AI solutions
  • Collaborate with cross-functional teams to ensure the successful execution of advanced analytics, machine learning and AI solutions for clients
  • Lead onshore and offshore data science teams in delivering end-to-end analytics solutions, including work prioritization, task allocation, and quality assurance of deliverables
  • Drive analytical rigor and procedures in modeling, experimentation (A/B testing, causal inference), and measurement
  • Contribute to initiatives that improve analytics delivery efficiency, including the standardization of methodologies, development of scalable frameworks, and adoption of innovative approaches
  • Communicate insights, recommendations, and business impact clearly to clients and collaborators
Qualifications
  • 10+ years of experience in data science, analytics, or machine learning (marketing analytics experience strongly preferred)
  • Strong expertise in statistical modeling, machine learning, and applied analytics
  • Experience leading onshore and offshore data science teams in a global delivery model
  • Strong understanding of experimentation and measurement (A/B testing, causal inference, multi-channel attribution)
  • Ability to translate complex analytical concepts into clear business recommendations
  • Experience working with large-scale data environments (e.g., Databricks, Spark) is preferred
  • Hands-on coding experience in Python is a plus
  • Familiarity with MLOps and Generative AI / LLM applications is a plus
  • Master's degree in a quantitative field (PhD or MBA a plus)

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Additional Information

When You Join Us, We'll Create Something EPIC TogetherEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first.  Our benefits encompass a wide range of offerings, including but not limited to the following:  

  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time  
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance  
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling  

Epsilon benefits are subject to eligibility requirements and other terms. 

Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.

 Compensation Range: USD $169,100.00 - USD $314,000.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/21/2026.Employment Type: FULL_TIME

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