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Data Science Jobs in Encinitas, CA (NOW HIRING)

Arenatechnologies

Data Scientist

San Diego, CA · On-site

$125 - $144/hr

Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience in data science related to training and development, with an artificial intelligence focus * Data ...

Qualcomm

Data Scientist, Staff

San Diego, CA · On-site

$142.10 - $213.10/hr

Company Qualcomm Incorporated Job Area Information Technology Group, Information Technology Group > Data Science General Summary As a leading technology innovator, Qualcomm pushes the boundaries of ...

Waymo

Senior Data Scientist

San Diego, CA

Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser ...

Qualcomm

Data Scientist, Staff

San Diego, CA · On-site

$142K - $213K/yr

Information Technology Group, Information Technology Group > Data Science General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next ...

Booz Allen Hamilton

Mid Data Scientist

San Diego, CA · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs and then dig into ...

Booz Allen Hamilton

Data Scientist, Mid

San Diego, CA

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs and then dig into ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

San Diego, CA · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs and then dig into ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Encinitas, CA

Data Science information

See Encinitas, CA salary details

$40.3K

$131.8K

$211.1K

How much do data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science in Encinitas, CA is $131,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $146,100.00 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 Encinitas, CA?

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

What are popular job titles related to Data Science jobs in Encinitas, CA?

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

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

Cities near Encinitas, CA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Encinitas, 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, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,832 per year, or $63.4 per hour.

Data Scientist

Systems Planning and Analysis

San Diego, CA • On-site

Full-time

Medical, Life, Retirement

Re-posted 13 days ago

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. Objective. Responsive. Trusted.
The AUKUS, Submarines, and Industrial Base Group (ASIG), within the Sea, Land, Air Division, provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to Director Submarine Program directorates and key stakeholders surrounding submarine platform construction. Director Submarine Program unifies submarine platform procurement activities, which includes the Columbia-class SSBN program (a Major Defense Acquisition Program and the Navy's top acquisition priority), the Virginia-class SSN program, the new SSN-X program (developing the next generation attack submarine), and the AUKUS Integration and Acquisition Office, to bring improved capabilities to our undersea forces. Analysts and Engineers supporting Director Submarine Program will continue SPA's decades of support to the SSBN force, as well as supporting oversight of cutting-edge attack submarine construction, assisting in developing the design requirements for the SSN platform of the future, and helping plan and execute new and innovative strategies to strengthen the critical submarine shipbuilding industrial base. These are high-profile, major acquisition and manufacturing programs of significant importance to the future capabilities of the US Navy in an era of renewed strategic competition.
SPA is looking for a Mid-Level Data Scientist with Artificial Intelligence experience in the training and development field to support a contingent role with Naval Information Warfare Systems Command (NAVWAR) Manpower, Personnel & Training in San Diego, CA. #KS M
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Responsibilities
In this role, a Mid-Level Data Scientist will work with NAVWAR's CNO's Integrated Product Team for Data Science to help develop data scientist training for NAVWAR Enterprise products. Work will include creation and modification of initial training plans, usable training packages for systems in production as well as training guides for instructors and maintenance personnel; support installation of new training equipment, including preparation of plans; alterations, conversions, rehabilitations, of facilities required incident to installation (excluding military construction); and field engineer services; support removals and re-installation of an initial equipment installation project, removal of equipment no longer used for training purposes, and re-installations required because of the re-establishment of upgrade of a training program; support initial training for new production equipment furnished until the training agency can acquire the capability; prepare technical or journeyman's manuals with associated instructor guides and trainee measurement aids when required for training of new or upgraded equipment due to a major system modification.
Qualifications
Required Qualifications:
  • Bachelor's Degree in Data Science or equivalent
  • 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus
  • Data management and data visualization experience with Navy or comparable DoW databases
  • Possession of 1 or more relevant industry certifications such as CompTIA Cloud Essentials, Microsoft Technical Associate (MTA), Certificate of Cloud Security (CCSK), CompTIA A+, CompTIA Security+, EMC Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified Information System Security Professional (CISSP), Certified Cloud Professional (CCP) (Cloudera), Microsoft Certified Professional Developer (MCPD), Microsoft Certified Solution Developer(MCSD), Microsoft Certified Solution Expert (MCSE), Private Cloud, Certified Administrator for Apache Hadoop (CCAH) (Cloudera)
  • Proven ability to work independently and within a team environment to achieve client objectives.
  • DoD Top Secret Clearance and the ability to maintain it throughout employment

Desired Qualifications:
  • Ability to collaborate with Navy partners to execute integrated training products
  • Experience in direct support of a Navy or DoW data visualization product developing, preferably within NAVWAR or NETC

Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. California, Pay Transparency Salary range: USD $125,000.00/Yr. - USD $144,000.00/Yr.

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