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Data Science Jobs in Goleta, CA (NOW HIRING)

Australia-Employment

Data & Systems Analyst

Goleta, CA · On-site

$171.92/hr

  • Medical

Bachelor's degree in Data Science, Engineering, Computer Science, Information Systems, or equivalent professional experience. * Minimum of 5 years of experience in a similar role. * Experience with ...

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Redwire

Contractor - Data and Systems Analyst

Goleta, CA · On-site

$90 - $130/hr

Bachelor's degree in Data Science, Engineering, Computer Science, Information Systems, or equivalent professional experience * 6-10 years of experience in Development, Operations, Business Systems ...

New

Shp

MLOps Engineer

Goleta, CA · On-site

$140K - $175K/yr

  • Medical

  • Retirement

  • PTO

You'll productionalize data science work by building robust on-premises infrastructure, establishing software engineering best practices, and creating the tooling that enables our data scientists to ...

Sulekha.com New Media Pvt Ltd

Software Developer

Goleta, CA · On-site

$100 - $140/hr

AI And Data Science For Business Analyst * Python * SQL * React * AWS * Computer Science * Artificial Intelligence Engineer Qualifications and Preferences * Job Type IT Job * Work Authorization EAD ...

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Data Science information

See Goleta, CA salary details

$40.5K

$132.4K

$212K

How much do data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science in Goleta, CA is $132,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $146,700.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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 a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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

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For Data Science jobs in Goleta, CA, the most frequently searched job titles are:

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

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

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Data Science jobs near you
Infographic showing various Data Science job openings in Goleta, CA as of August 2026, with employment types broken down into 25% Full Time, and 75% Part Time. Highlights an 100% In-person job distribution, with an average salary of $132,430 per year, or $63.7 per hour.

Data Scientist II

Mission Support and Test Services, LLC

Goleta, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 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.

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