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Senior Remote Data Science Jobs in Colorado (NOW HIRING)

Description: 100% Remote, EST hours Our client, a leader in their industry, is hiring a Senior ... Design, develop, and own applied data science and optimization models supporting a pricing engine ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ...

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ...

Experience in data science and applied machine learning, with a strong record of delivering ... For exceptional candidates we would consider remote locations. Applicants need to be able to ...

Our team leverages the latest developments and best practices in data science, testing ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

Senior Data Scientist

Denver, CO · On-site +1

$105K - $150K/yr

We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions ... measurable data science solutions * Stay current on state-of-the-art techniques and quickly ...

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Senior Remote Data Science information

What is the difference between Senior Remote Data Science vs Data Analyst?

AspectSenior Remote Data ScienceData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often involved in complex modeling and predictive analyticsRemote or on-site, focused on data reporting, cleaning, and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Senior Remote Data Science roles typically require advanced technical skills and involve complex modeling, whereas Data Analysts focus on data reporting and visualization. Both roles can be remote and are used across various industries, but Data Analysts generally have less emphasis on machine learning and predictive modeling.

What are popular job titles related to Senior Remote Data Science jobs in Colorado? For Senior Remote Data Science jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Senior Remote Data Science jobs? Cities in Colorado with the most Senior Remote Data Science job openings:
Infographic showing various Senior Remote Data Science job openings in Colorado as of May 2026, with employment types broken down into 3% Internship, 82% Full Time, 9% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.
Remote Data Science Consultant - Shape AI Reasoning

Remote Data Science Consultant - Shape AI Reasoning

DataAnnotation

Denver, CO • On-site, Remote

$60/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, up to $60 USD/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