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Full Time Optum Data Science Jobs (NOW HIRING)

You will receive the same orientation training as our full-time engineers, you will be matched with ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test ...

Data Science Manager New York City, Hybrid Prolific Prolific is not just another player in the AI ... this full-time role in New York is $200'000-$250'000 per annum. Links to more information on ...

Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners ... Identify opportunities and initiate new data science projects that drive company OKRs * Communicate ...

Data Science Intern Location: Fairfax, VA Work Arrangement: On-site Overview : We are seeking a ... Candidates must be legally authorized to work in the United States on a full-time basis without the ...

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and ...

Data Science Engineer

Mclean, VA · On-site

$77.60K - $176K/yr

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Science Engineer The Opportunity: As a Data Science Engineer, you'll help build advanced ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Senior Data Science Analyst

Brentwood, TN · On-site

$100K - $130K/yr

This is a Full Time, remote, Senior Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities ...

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Full Time Optum Data Science information

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$37.5K

$122.7K

$196.5K

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

As of May 31, 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:
Co-Op, Data Science

Co-Op, Data Science

LiveRamp

San Francisco, CA • On-site

$31 - $49/hr

Full-time

Posted 11 days ago


Job description

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility-and have a good bit of fun along the way. We're always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
Get ready for the best learning experience of your life. You will receive the same orientation training as our full-time engineers, you will be matched with an individual mentor, and you will be committing production code by the end of your first week. In the course of your internship or Co-op, you will be tasked with one or more mission-critical projects and make meaningful contributions to LiveRamp's success. Also, if our previous interns are any guides, you will have a ton of fun in the process!
Internships are 12 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your internship.
Co-ops range between 12-24 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your Co-op.
We are seeking Co-Op candidates interested in applying data science to the ad-tech space.
Join our Insights Engineering Team!
You will:
  • Use statistical and ML based techniques to reduce selection bias, build representative samples, and analyze randomized studies in the ad-tech space.
  • Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets.
  • Perform R&D work by prototyping new statistical and data modeling frameworks, translating prototypes into SQL and PySpark workflows, and then drive those prototypes into production.
  • Work in multiple cloud environments such as AWS and GCP, and help build, monitor, and troubleshoot automated modeling jobs using technologies such as Spark and BigQuery.
  • Troubleshoot internal and external models by understanding the key ingredients and underlying assumptions of the models.
  • Basic familiarity with prompt engineering and a proactive willingness to adopt new AI-driven productivity tools.

About you:
  • Possess strong mathematics, statistics and computer science skills that you are ready to turn into industry-ready skills
  • Pursuing or completed a degree in a Data Science related field (e.g. Mathematics, Statistics, Computer Science, Physics or other STEM degrees)
  • Excited to learn new data science techniques and technologies
  • Willing to dive in and learn by doing
  • Ready to work with others to solve hard problems
  • Possess a startup personality: smart, ethical, friendly, hard-working and proactive
  • Excited to work with products that have close interactions with customers

Preferred Skills:
  • Strong background in probability and statistics, experience implementing statistical models in SQL, and familiarity with fundamentals of randomized control trials.
  • Experience contributing to a mature Python-centric code base.
  • Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn).
  • Experience writing SQL and working with relational databases.
  • Understanding of software engineering fundamentals such as object oriented programming, computational complexity, version controlling with git, and experience in command line interfaces such as bash.
  • Knowledge of Big Data stacks such as Hadoop and Spark
  • Experience with AWS and/or GCP cloud providers
  • Experience with Agile software development

The approximate hourly base compensation range is $31.00 to $49.00. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
More about us:
LiveRamp's mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.