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From Home Data Science Certificate Jobs (NOW HIRING)

DataAnnotation

Data Science Consultant

Saint Paul, MN · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or ...

Arsenault

Work at Home Data Entry Associate

Manhattan, NY · On-site

$17.75 - $22.75/hr

About the job Work at Home Data Entry Associate Have you ever wanted to work in a Call Center, but don't like talking on the phones? Do you enjoy data entry and want to earn a little extra Holiday ...

Maxion Corp LLC

Work From Home Data Entry - Remote

Atlanta, GA · Remote

$16.25 - $22/hr

Join Our Team as a Work-From-Home Data Entry Research Panelist! Are you ready to earn money from the comfort of your own home? This exciting opportunity is perfect for anyone with a variety of skills ...

AllJobs

$300/day

About the job Work at Home Entry Level Order Processor / Data Entry / Typist Work at Home Entry Level Order Processor / Data Entry / Typist / Back - Front Office Clerks / Secretary / Supervision ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134.30K - $161.30K/yr

You may have the flexibility to work from home one or more days per week. These positions will be ... certifications, experience, skills, seniority, geographic location, performance, and business or ...

LLNL

Data Science Engineer

Livermore, CA

$134.30K - $161.30K/yr

You may have the flexibility to work from home one or more days per week. These positions will be ... certifications, experience, skills, seniority, geographic location, performance, and business or ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

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How much do from home data science certificate jobs pay per year?

As of May 28, 2026, the average yearly pay for from home data science certificate in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is a certificate in data science worth it?

A data science certificate can enhance job prospects by demonstrating skills in programming, statistics, and data analysis, which are valued in roles such as data analyst or data scientist. However, practical experience and a strong portfolio often weigh more than certification alone in hiring decisions.

What is the difference between From Home Data Science Certificate vs Data Analyst?

AspectFrom Home Data Science CertificateData Analyst
CredentialsCertificate in Data Science, online courseworkTypically a degree in Data Science, Statistics, or related field
Work EnvironmentRemote, online learning and project workOffice or remote, depending on employer
Industry UsageEntry-level, focused on foundational skillsData interpretation, reporting, and visualization roles

The From Home Data Science Certificate provides foundational knowledge suitable for entry-level roles and is often completed online. Data Analysts usually hold a degree and focus on analyzing and visualizing data in various industries. Both roles may overlap in skills but differ in credentials and typical job functions.

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What cities are hiring for From Home Data Science Certificate jobs? Cities with the most From Home Data Science Certificate job openings:
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From Home Data Science Certificate jobs near you
Infographic showing various From Home Data Science Certificate job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, and 14% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Consultant

Data Science Consultant

DataAnnotation

Saint Paul, MN • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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