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Remote Optum Data Science Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all ...

ERP Suites

AI & Mobile Product Manager

Loveland, OH · On-site +1

Although the position will be remote, there might be some occasional travel to ERP Suites ... Daily Activities: • Collaborate with engineering, data science, and design teams to review ...

GRVTY

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

GRVTY

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field (preferred) * 3-5 years of hands‑on experience in a data engineering role * Strong SQL skills and a solid ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

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All JobsOptum Data Science JobsRemote Optum Data Science JobsRemote Optum Data Science Jobs in Ohio

Remote Optum Data Science information

Can I work remotely as a remote optum data science?

Remote data science roles at Optum typically offer the flexibility to work from home, depending on the company's policies and the specific position. Candidates should have strong analytical skills, proficiency in tools like Python or R, and good communication abilities to succeed in a remote environment. Availability of remote work may vary by team and project requirements.

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

AspectRemote Optum Data ScienceRemote Optum Data Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Statistics, or related fieldsBachelor's degree in Data Analysis, Statistics, or related fields often sufficient
Work EnvironmentFocus on advanced modeling, machine learning, and predictive analyticsData cleaning, reporting, and basic analysis tasks
Employer & Industry UsageUsed in healthcare analytics, predictive modeling, and research within OptumUsed for reporting, data management, and supporting decision-making processes

Remote Optum Data Science roles involve developing complex models and algorithms, requiring advanced degrees and technical expertise. In contrast, Remote Optum Data Analyst positions focus on data reporting and basic analysis, often requiring a bachelor's degree. Both roles support healthcare analytics but differ in scope and technical depth.

What are the most commonly searched types of Optum Data Science jobs in Ohio? The most popular types of Optum Data Science jobs in Ohio are:
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What cities in Ohio are hiring for Remote Optum Data Science jobs? Cities in Ohio with the most Remote Optum Data Science job openings:
Remote Optum Data Science jobs near you

Health IT Data Engineer

A-TEK Inc.

Continental, OH • Remote

$125K - $135K/yr

Full-time

Re-posted 9 days ago

Job description

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Design and develop enterprise data pipelines and ETL processes.
  • Develop logical and physical data models.
  • Integrate data from multiple enterprise systems.
  • Implement data validation and quality control procedures.
  • Optimize database and reporting performance.
  • Support Power BI, Tableau, and enterprise reporting platforms.
  • Develop automation processes supporting data ingestion and transformation.
  • Ensure compliance with Government security and privacy requirements.
  • Troubleshoot data integration issues and performance bottlenecks.
  • Support cloud-based analytics environments and data modernization initiatives.
  • Prepare technical documentation and data architecture diagrams.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
  • Minimum seven (7) years of data engineering experience.
  • Strong SQL development skills.
  • Experience designing ETL pipelines.
  • Experience with relational databases and data warehousing.
  • Experience supporting enterprise reporting platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience.
  • Power BI and Tableau development experience.
  • Healthcare data integration experience.
  • Knowledge of HL7 or FHIR standards.

Compensation

Expected Salary Range: $125,000-$135,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

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