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How much do innovim jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for innovim in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in computer science or mathematics, usually supported by a relevant degree. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of machine learning frameworks are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting insights. These skills are crucial for transforming complex datasets into actionable strategies that drive business decision-making.

What is the difference between Innovim vs Data Analyst?

AspectInnovimData Analyst
Required CredentialsBachelor's degree in relevant field, security clearance often preferredBachelor's degree in statistics, mathematics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentGovernment agencies, defense, and federal projectsCorporate, consulting firms, or government agencies
Employer & Industry UsagePrimarily government and defense sectorsBusiness, finance, healthcare, and technology sectors
Common Search & ComparisonYesYes

Innovim and Data Analyst roles often require similar educational backgrounds and analytical skills. Innovim typically focuses on government and defense projects, requiring security clearances, while Data Analysts work across various industries with a broader range of certifications. Both roles involve data interpretation, but Innovim's work environment is more specialized in federal agencies.

What types of projects do team members typically work on at Innovim, and how is cross-functional collaboration encouraged?

At Innovim, team members often engage in projects that involve data analytics, cloud solutions, and scientific IT services, primarily supporting government and space-related clients. Collaboration is a core part of the work culture; employees frequently work in multidisciplinary teams comprising engineers, scientists, and IT specialists to solve complex technical challenges. Cross-functional meetings, shared project management tools, and regular knowledge-sharing sessions are common practices to ensure smooth collaboration and foster innovation across different departments.

What is Innovim and what does the company do?

Innovim is a technology solutions company that specializes in delivering advanced science, engineering, and information technology services, primarily to federal government agencies such as NASA and NOAA. They focus on areas like data management, cloud computing, earth science, and mission-critical systems. Innovim supports clients with innovative solutions for satellite data processing, weather forecasting, and IT modernization. Their expertise helps agencies achieve their missions more efficiently and effectively.
More about Innovim jobs
What states have the most Innovim jobs? States with the most job openings for Innovim jobs include:
What job categories do people searching Innovim jobs look for? The top searched job categories for Innovim jobs are:
Innovim jobs near you
Infographic showing various Innovim job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, and 14% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

ML Ops Engineer

Innovim Technology Solutions

California City, CA • On-site

Contractor

Posted 9 days ago

Job description

Title: ML Ops Engineer

Location: West coast preferred

Duration: Long Term Contract

Assignment:

  • Priority #1: Deploy models built by a Farmers data scientist as batch models using SageMaker pipelines & jobs OR step functions/EMR.
  • Priority #2: Implement ML Flow server for the Farmers Enterprise

Skills:

Must have working experience deploying batch models using AWS Sage Maker pipelines, experience with AWS services such as lambda, S3; and training classification models; and ML Flow server setup. They will be more successful if they have experience deploying real time models on Sage Maker endpoints, experience with AWS services such as IAM, sns, cloud watch; and experience with snowflake databases; and relational data sets.