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Full Time Optum Data Science Jobs (NOW HIRING)

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

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Full Time Optum Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time optum data science jobs pay per year?

As of Jun 3, 2026, the average yearly pay for full time optum data science 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.

What is the difference between Full Time Optum Data Science vs Full Time Optum Data Analyst?

AspectFull Time Optum Data ScienceFull Time Optum Data Analyst
Required CredentialsTypically requires a degree in Data Science, Statistics, or related field; advanced certifications preferredUsually requires a degree in Data Analysis, Business, or related field; certifications like Excel or SQL beneficial
Work EnvironmentFocuses on developing models, algorithms, and predictive analyticsFocuses on interpreting data, generating reports, and supporting decision-making
Employer & Industry UsageCommonly employed in healthcare and insurance sectors within OptumUsed across healthcare, insurance, and business sectors within Optum

Full Time Optum Data Science roles involve building advanced models and algorithms, requiring technical expertise in data science. In contrast, Full Time Optum Data Analyst positions focus on analyzing data sets and creating reports to support business decisions. Both roles are integral to Optum's data-driven approach but differ in technical complexity and daily responsibilities.

What cities are hiring for Full Time Optum Data Science jobs? Cities with the most Full Time Optum Data Science job openings:
What are the most commonly searched types of Optum Data Science jobs? The most popular types of Optum Data Science jobs are:
What states have the most Full Time Optum Data Science jobs? States with the most job openings for Full Time Optum Data Science jobs include:
Data Science Consultant

Data Science Consultant

DataAnnotation

Louisiana, MO • On-site, Remote

$60/hr

Full-time

Posted 22 days ago


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.BenefitsFully 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.ResponsibilitiesEvaluate 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.Qualifications2+ 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).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.J-18808-Ljbffr