Top 49 Data science entry level Jobs in Hawthorne, Ca

Data Scientist
Fanatics Collectibles —Los Angeles, CA
- $122,040 - $152,550 a year
- Call employer
- Computer science
- Computer Science
- Master's degree
Quick Apply
Junior Statistician - Surgery
UCLA Health —Los Angeles, CA
- $33.96 - $69.54 an hour
- Full-time
- Computer science
- Surgery
- Computer Science
Business Operations Analyst (Starlink)
SpaceX —Hawthorne, CA
- $85,000 - $120,000 a year
- Extended hours
- Computer Science
- Engineering
- Office
- Paid parental leave
- Employee stock purchase plan
Associate Manufacturing Engineer – Electrical
Boeing —El Segundo, CA
- $76,500 - $103,500 a year
- Computer Science
- Bachelor of Science
- Engineering
- Health savings account
- Disability insurance
4d
DSP Algorithms Engineer (Entry-Level)
Boeing —El Segundo, CA
- $79,050 - $106,950 a year
- 8 hour shift
- Computer science
- Computer Science
- Bachelor of Science
- Health savings account
- Disability insurance
Guidance Navigation & Control Engineer (Entry-Level) - Navigation Sys/Inertial Sensor
Boeing —El Segundo, CA
- $80,750 - $109,250 a year
- Computer science
- Computer Science
- Bachelor of Science
- Health savings account
- Disability insurance
3d
Rainmaker Fellow, Machine Learning
Rainmaker Technology Corporation —El Segundo, CA
- $8,000 a month
- Full-time
- Computer Science
- Office
- Math
- Health insurance
- Dental insurance
Quick Apply
7d
Agentic AI, AI & Data Science Engineer
Deloitte —Los Angeles, CA
- $122,000 - $240,500 a year
- Full-time
- Computer Science
- Up to 50% travel
- Mid-level
Data Analyst
CarParts.com —Long Beach, CA
- $80,000 - $90,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply
Civic Data Analyst (Sustainable Mobility)
Alta Planning + Design —Los Angeles, CA
- $70,000 - $88,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid parental leave
- Health savings account
Quick Apply
AI Software Engineer (Vehicle Engineering)
SpaceX —Hawthorne, CA
- $125,000 - $175,000 a year
- Extended hours
- Computer Science
- No experience needed
- Math
- Paid parental leave
- Employee stock purchase plan
Business System Analyst III
UCLA Health —Los Angeles, CA
- $78,500 - $163,600 a year
- Computer Science
- Bachelor of Science
- Mid-level
Business Intelligence Analyst III/IV
UCLA Health —Los Angeles, CA
- $86,400 - $208,300 a year
- System design
- Finance
- SQL
Software Engineer, Data - Top Secret Clearance (Starlink)
SpaceX —Los Angeles, CA
- $125,000 - $195,000 a year
- Extended hours
- Computer Science
- No experience needed
- Mid-level
- Paid parental leave
- Employee stock purchase plan
1d
IT Specialist (DATAMGT)
US Office of Inspector General —Los Angeles, CA
- $90,968 - $197,200 a year
- Online Application
- Background check
- Pass drug screening
- No experience needed
Full Stack Software Engineer (Starshield)
SpaceX —Hawthorne, CA
- $125,000 - $175,000 a year
- Extended hours
- Computer Science
- No experience needed
- Mid-level
- Paid parental leave
- Employee stock purchase plan
Software Engineer (Starfall)
SpaceX —Hawthorne, CA
- $125,000 - $175,000 a year
- Extended hours
- Computer Science
- System design
- Mid-level
- Paid parental leave
- Employee stock purchase plan
11d
Technical Instructor (AWS Machine Learning)
Per Scholas —Los Angeles, CA
- $60 - $65 an hour
- Part-time
- Remote
- Classroom
- Customer service
- Public speaking
- Paid parental leave
- AD&D insurance
Quick Apply
Application Software Engineer, Applied AI
SpaceX —Hawthorne, CA
- $125,000 - $195,000 a year
- Extended hours
- Hybrid work
- Computer Science
- System design
- No experience needed
- Paid parental leave
- Employee stock purchase plan
1d
Machine Learning Infrastructure Engineer
Whatnot —Los Angeles, CA
- $200,000 - $345,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Experience equivalent to degree accepted
- Paid parental leave
- Health insurance

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data science entry level jobs near hawthorne, ca

Data Scientist

Fanatics Collectibles
Los Angeles, CA

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Job Details

$122,040 - $152,550 a year

Qualifications

Predictive modeling analysis
Hypothesis testing
Design of experiments
AI tools proficiency
SQL
Machine intelligence
Inferential statistics
Machine learning frameworks
Statistical significance testing
Cross-functional communication
Data analysis software
Database software proficiency

Full Job Description

About Us

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About the Team

Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators.

Role Summary

As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely with senior data scientists, product managers, engineers, and analysts, you will apply statistical methods and machine learning techniques to analyze data, uncover insights, and contribute to data-driven product improvements.

This role is ideal for someone early in their data science career who is eager to expand their technical skills while gaining experience in a fast-paced, product-focused environment.

What You'll Do

Partner with Product, Engineering, and Analytics teams to understand business questions and support data-driven decision making.
Build, validate, and maintain analytical models and data pipelines under the guidance of senior team members.
Perform statistical analyses and exploratory data analysis to identify trends, patterns, and opportunities.
Support A/B testing initiatives by assisting with experiment design, data validation, statistical analysis, and communicating results.
Develop dashboards and reports using tools such as Sigma or Looker to help stakeholders monitor product performance and key business metrics.
Write efficient SQL queries and work with cloud-based data warehouses such as Snowflake or BigQuery to prepare and analyze data.
Use Python or R to automate analyses and develop reproducible analytical workflows.
Leverage AI-assisted development tools (such as Claude or OpenAI) and engineering platforms (GitHub, Airflow) to improve productivity and collaboration.
Collaborate with senior data scientists to improve existing models and analytical processes while continuing to build technical expertise.
Clearly communicate analytical findings and recommendations to technical and non-technical stakeholders.

What You'll Need

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative field, or equivalent practical experience.
1–3 years of experience in data science, analytics, or a related quantitative role.
Working knowledge of SQL and experience querying large datasets.
Proficiency in Python or R for data analysis.
Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design.
Familiarity with machine learning concepts and common libraries such as scikit-learn.
Strong analytical thinking, curiosity, and willingness to learn new technologies.
Excellent communication and collaboration skills.

Bonus Qualifications

Master's degree in a quantitative discipline.
Experience with business intelligence tools such as Sigma, Looker, or Tableau.
Exposure to cloud data platforms including Snowflake or BigQuery.
Coursework or practical experience with machine learning, forecasting, or experimentation.
Experience working in consumer technology, e-commerce, marketplaces, or digital products.
Familiarity with behavioral analytics platforms such as Mixpanel, Amplitude, or Google Analytics.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

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Refine Your Search

data science entry level jobs in hawthorne, ca

Data Scientist

Junior Statistician - Surgery

Business Operations Analyst (Starlink)

Associate Manufacturing Engineer – Electrical

DSP Algorithms Engineer (Entry-Level)

Guidance Navigation & Control Engineer (Entry-Level) - Navigation Sys/Inertial Sensor

Rainmaker Fellow, Machine Learning

Agentic AI, AI & Data Science Engineer

Data Analyst

Civic Data Analyst (Sustainable Mobility)

AI Software Engineer (Vehicle Engineering)

Business System Analyst III

Business Intelligence Analyst III/IV

Software Engineer, Data - Top Secret Clearance (Starlink)

IT Specialist (DATAMGT)

Full Stack Software Engineer (Starshield)

Software Engineer (Starfall)

Technical Instructor (AWS Machine Learning)

Application Software Engineer, Applied AI

Machine Learning Infrastructure Engineer

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