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Data Jobs in Goleta, CA (NOW HIRING)

Principal Analyst Data Manager

Goleta, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Builds a data track in a Product Data Management (PDM) system Identifies, with help from the Program Office, the appropriate preparers, receives the data within PDM, and reviews the data for ...

Data Support is a global team that turns The Trade Desk's proprietary data into custom and syndicated segments and insights that clients can activate with confidence. The segments we build power ...

Applied NLP Engineer

Santa Barbara, CA ยท On-site

$127K - $153K/yr

Job Summary : Unwrap is a company focused on building products that people love, helping clients like Lyft and Microsoft process customer feedback effectively. The Applied NLP Engineer will be ...

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Data information

See Goleta, CA salary details

$49.6K

$178K

$262.7K

How much do data jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data in Goleta, CA is $178,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $183,400.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What are the most commonly searched types of Data jobs in Goleta, CA?

The most popular types of Data jobs in Goleta, CA are:

What job categories do people searching Data jobs in Goleta, CA look for?

The top searched job categories for Data jobs in Goleta, CA are:

What cities near Goleta, CA are hiring for Data jobs?

Cities near Goleta, CA with the most Data job openings:

Infographic showing various Data job openings in Goleta, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $178,048 per year, or $85.6 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description


Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site's Cold War legacy. Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today.
  • MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more.
  • MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc.

Responsibilities
The Special Technologies Laboratory (STL) is in search of a Data Scientist with a strong analytical background to work across multiple teams at our Santa Barbara, CA facility, supporting the design and development of novel algorithms for signal and data processing. This position is part of an interdisciplinary team that values a diversity of subject backgrounds.
Key Responsibilities
  • Develop, implement, and evaluate machine learning algorithms to analyze multi-modal data (e.g. time series, imagery, sensor streams) from critical infrastructure monitoring.
  • Design models to detect anomalous behavior and emerging risks in complex processes.
  • Apply statistical and data-driven techniques to support quality assurance, system integrity and counter-sabotage objectives.
  • Collaborate with cross-functional teams to translate operational challenges into analytical solutions.
  • Perform exploratory data analysis to understand data characteristics, limitations and quality.
  • Communicate technical findings clearly to both technical and non-technical stakeholders.
  • Contribute to documentation, testing and continuous improvement of analytical workflows.
  • Perform other duties assigned by Management.

Qualifications
  • Bachelor's degree in a calculus-based (STEM) field, plus at least 2 years' relevant experience. Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized.
    • Course of study in applied mathematics, electrical, software or computer engineering preferred.
  • Prefer a graduate degree in a STEM field with either graduate or undergraduate degree in a calculus-based physical science, engineering, or applied mathematics field.
  • Proficiency with common compiled and interpreted scripting languages such C, C++ or Python.
  • Experience developing statistical concepts to create solutions to physical science problems.
  • Experience with building machine learning models for multi-modal datasets.
  • Interest in autonomous manufacturing and inspection.
  • Ability to manage multiple tasks and priorities.
  • Excellent written and oral communication skills.
  • Proficiency with signal processing, data exploration, and statistical analysis techniques is highly desired.
  • Interest in machine learning methods, including clustering, regression, and classification is preferred.
  • Experience with data visualization tools and user interfaces is preferred.
  • Experience in developing models of physical phenomena to correlate with measured data is preferred.
  • The primary work location will be at the Special Technologies Laboratory located in Santa Barbara, CA.
  • Flexible work schedule can be negotiated with the manager; employees can work 5/8s, 9/80 or 4/10 work weeks.
  • Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing.
  • Must possess a valid driver's license.

MSTS is required by DOE directive to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants offered employment with MSTS are also subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. In addition, Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship, at least 18 years of age. Reference DOE Order 472.2, "Personnel Security". If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Department of Energy Q Clearance (position will be cleared to this level). Reviews and tests for the absence of any illegal drug as defined in 10 CFR Part 707.4, "Workplace Substance Abuse Programs at DOE Sites," will be conducted. Applicant selected will be subject to a Federal background investigation, required to participate in subsequent reinvestigations, and must meet the eligibility requirements for access to classified matter. Successful completion of a counterintelligence evaluation, which may include a counterintelligence-scope polygraph examination, may also be required. Reference 10 CFR Part 709, "Counterintelligence Evaluation Program."
MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace.
Annual salary range for this position is: $83,075.20 - $124,612.80.
Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity.