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Remote International Statistician Jobs (NOW HIRING)

PulsePoint

AI Engineer (Remote, International)

Evaluates, selects, and optimizes ad-serving based on advanced statistics and machine learning. * Returns responses collected from dozens of parties in milliseconds. * Constantly evolves to meet ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

Postpartum Support International

Research Associate

$25/hr

Postpartum Support International (PSI) works to promote awareness, prevention, and treatment of ... PSI headquarters is in Portland, Oregon, but the position is entirely remote. PSI additionally ...

New

Postpartum Support International

Research Associate

$25/hr

Postpartum Support International (PSI) works to promote awareness, prevention, and treatment of ... PSI headquarters is in Portland, Oregon, but the position is entirely remote. PSI additionally ...

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Remote International Statistician information

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$40.5K

$83.7K

$117K

How much do remote international statistician jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote international statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote International Statistician vs Remote Data Analyst?

AspectRemote International StatisticianRemote Data Analyst
Required credentialsStatistics degree, certifications like SAS or RStatistics, mathematics, or related degree; certifications optional
Work environmentGlobal companies, remote teams, international projectsVaried industries, remote or on-site, domestic or international clients
Employer usageResearch firms, healthcare, finance, governmentBusiness, marketing, tech, finance sectors
Search intentRemote International Statistician roles, international data projectsRemote Data Analyst jobs, data analysis roles

The Remote International Statistician primarily focuses on analyzing global datasets, often requiring advanced statistical skills and international project experience. In contrast, Remote Data Analysts typically handle business data analysis within specific industries. While both roles involve data interpretation, the statistician's work is more specialized in statistical modeling and international scope, making the roles distinct but related in the data industry.

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What are the most commonly searched types of International Statistician jobs?

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Remote International Statistician jobs near you
Infographic showing various Remote International Statistician job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

AI Engineer (Remote, International)

Remote

PulsePoint
Marketing • 51 - 200 employees
Learn more about PulsePointexternal

Full-time

Re-posted 21 days ago

Job description

Description
AI Engineer Job Description
About PulsePoint:
PulsePoint is a fast-growing AdTech company using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across their customers' health journey to produce the most complete view of the customer. Our award-winning platforms use machine learning to activate this data, enabling easy, instantaneous marketing, predictive analytics, and decision support.
In this role, you will:
  • Design, develop, and maintain LLM-based AI components to improve the efficiency of internal teams and user-facing communications, spanning from data retrieval to chat interfaces.
  • Experiment and evaluate new frameworks, models, and architectures emerging in the area.
  • Improve the underlying data infrastructure to address the challenges posed by LLM usage.
  • Partner with cross-functional teams of analysts, software engineers, and user-facing departments to identify relevant use cases and design appropriate solutions.
  • Contribute to the technical vision for the foundation of generative AI systems in PulsePoint.

You will be a part of the Core Engineering team, which is responsible for the development and maintenance of the PulsePoint Exchange and Life Advertising platform:
  • Handles hundreds of thousands of transactions per second, billions of times each month.
  • Evaluates, selects, and optimizes ad-serving based on advanced statistics and machine learning.
  • Returns responses collected from dozens of parties in milliseconds.
  • Constantly evolves to meet market demands that change in days and weeks, not months/years.
  • Factors thousands of data points in every serving decision.

We're small enough that you can own something and have a direct impact, but big enough that you don't have to do it alone. We are flexible enough to accommodate your interests as they evolve and find the best application for your passion at the moment.
The company and the team have a flat hierarchy, with technical management writing code and direct access to business, product, and operations.
Lastly, our engineers have lots of empowerment and freedom of action (but we don't water down our responsibilities or expectations).
Basic Qualifications:
  • Python experience, experience with basic data manipulation packages like numpy and pandas, solid SQL skills, and understanding TDD principles.
  • Independence, initiative, commitment, and responsibility to what you have tamed.
  • Excellent problem-solving and critical thinking: you will need to figure out your own mistakes, and sometimes not just yours, especially in such a new field.
  • Note that we are not hiring in the U.S. for this role.

Preferred Qualifications:
  • Experience developing, delivering, and supporting AI and ML algorithms or technologies (e.g. LLM Inference, Embeddings, and VectorDBs, ranking algorithms, and time series analysis).
  • Experience with k8s, as we are mostly self-hosted.
  • Java & Python proficiency.

Apply