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Ml Data Associate Jobs in Carson, CA (NOW HIRING)

SR Systems Engineer- SATCOM

Seal Beach, CA · On-site

$108K - $148K/yr

Work with data, AI/ML, software, and systemsengineering teams to integrate required data sources ... Associates degree and 14+ years of experience in a Systems Engineering related field; OR bachelor ...

SR Systems Engineer- SATCOM

Seal Beach, CA

$108K - $148K/yr

Work with data, AI/ML, software, and systemsengineering teams to integrate required data sources ... Associates degree and 14+ years of experience in a Systems Engineering related field; OR bachelor ...

Data Science and Analytics As an Associate Director on the Marketing Science Measurement and ... Familiarity with AI/ML concepts and their application to marketing measurement. Working knowledge ...

Data Science and Analytics As an Associate Director on the Marketing Science Measurement and ... Familiarity with AI/ML concepts and their application to marketing measurement. Working knowledge ...

Data Strategy-Manager

Los Angeles, CA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Data Governance- Manager

Irvine, CA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Data Governance- Manager

Los Angeles, CA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

Showing results 21-40

Ml Data Associate information

See Carson, CA salary details

$60.1K

$71.2K

$134.9K

How much do ml data associate jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ml data associate in Carson, CA is $71,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $62,200.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Carson, CA?

For Ml Data Associate jobs in Carson, CA, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Carson, CA look for?

The top searched job categories for Ml Data Associate jobs in Carson, CA are:

What cities near Carson, CA are hiring for Ml Data Associate jobs?

Cities near Carson, CA with the most Ml Data Associate job openings:

SR Systems Engineer- SATCOM

Peraton

Seal Beach, CA • On-site

$108K - $148K/yr

Full-time

PTO

Re-posted 14 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 226 rated it services


Job description

Responsibilities

Peraton is delivering advanced mission planning, digital engineering, and commandandcontrol capabilities supporting the U.S. Government's space communications enterprise. Our team uses modern MBSE practices to translate mission needs into precise, traceable, and verifiable technical requirements across a complex, multisystem environment.

As a SR Systems Engineer, you will support the technical planning, development, and integration of missionplanning and systemsengineering artifacts that advance program goals and operational outcomes. You will help shape requirements, architectures, interface definitions, and engineering products that ensure system capabilities are aligned, traceable, and technically sound across the broader system landscape. In this role, you will collaborate with crossfunctional teams, contribute to disciplined engineering processes, and ensure solutions remain consistent with program objectives and stakeholder priorities.

What you'll do:

  • Provide feedback and refinement for missionlevel specifications in coordination with the system integrator and engineering teams.
  • Support development of requirements, architectures, use cases, technical analyses, interface definitions, and systemlevel roadmaps.
  • Define componentlevel requirements derived from operational needs, system behaviors, and stakeholder priorities.
  • Lead or support generation and implementation of Interface Control Documents (ICDs).
  • Contribute to the creation of requirementverification artifacts for missionplanning and component specifications.
  • Work with data, AI/ML, software, and systemsengineering teams to integrate required data sources, model inputs, outputs, assumptions, and validation methods.
  • Identify technical risks, dependencies, integration challenges, sequencing concerns, and capability gaps across systemengineering activities.
  • Ensure systemsengineering efforts remain aligned with program objectives, MBSE practices, CTO advanced analytics initiatives, and stakeholder needs.
  • Support engineering activities related to ground systems and Agilebased development workflows.
Qualifications

Required Qualifications:

  • Associates degree and 14+ years of experience in a Systems Engineering related field; OR bachelor's degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 12+ years of experience in a Systems Engineering related field; OR a master's degree in Computer Science, Computer Engineering, Cloud Computing, or related field and 10+ years of experience in a systems engineering related field; OR a Ph.D. and 7+ years of experience. Additional four (4) years of relevant experience will be considered in lieu of a degree
  • This position requires the candidate possess an active TS/SCI. The candidate must maintain the clearance
  • Ability to lead systemsengineering activities such as requirements development, architecture definition, interface specification, and technical planning.
  • Ability to develop and interpret complex Interface Control Documents (ICDs) and support crosssystem interface integration.
  • Ability to evaluate and address systemlevel risks, dependencies, and integration challenges in multicomponent or distributed systems environments.
  • Ability to collaborate with multidisciplinary teams including software, AI/ML, data, MBSE, verification, and integration engineering.
  • Experience supporting systemsengineering activities for groundsystem or missionsystem environments.
  • Direct experience with an Agile software development lifecycle

Desired Qualifications:

  • Familiarity with ModelBased Systems Engineering tools or practices.
  • Experience working in multicontractor or thirdparty integration and test environments.
  • Experience supporting Agile development workflows.
  • Ability to prepare and present technical designs and recommendations to engineering stakeholders.

Benefits:

Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and eligible to participate in an attractive bonus plan

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Benefits

Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017