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New Grad Data Scientist Jobs in Los Angeles, CA (NOW HIRING)

AEG Presents

Data Scientist

El Segundo, CA · On-site

$150K - $160K/yr

Title: Data Scientist, Basketball Data Strategy Department: BasketballData Strategy, Basketball ... Integrate novel research, basketball metrics, and models into existing and new applications

AEG

Data Scientist

El Segundo, CA · On-site

$150K - $160K/yr

Title: Data Scientist, Basketball Data Strategy Department: BasketballData Strategy, Basketball ... Integrate novel research, basketball metrics, and models into existing and new applications

Los Angeles Lakers

Data Scientist

El Segundo, CA · On-site

$150K - $160K/yr

Data Scientist, Basketball Data Strategy The Data Scientist, Basketball Data Strategy is a critical ... Integrate novel research, basketball metrics, and models into existing and new applications

County of Los Angeles

DATA SCIENTIST

Los Angeles, CA · On-site

$113.10K - $152.41K/yr

Data Scientist is distinguished from the Senior Data Scientist in that the latter applies subject-matter expertise to identify new and emerging business problems, whereas the Data Scientist works ...

Zimmerman Advertising

Data Scientist

Irvine, CA · On-site

The Data Scientist works closely with Retail Technology, Media and Account Services teams to ... Stay up to date with the latest advancements in machine learning and MLOps and evaluate new ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... We celebrate new innovations, congratulate one another's achievements, and most importantly support ...

Perfict Global, Inc.

Data Scientist

Pasadena, CA · Remote

... in new ways to meet client needs. We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!! Client Healthcare Position Data Scientist Location Pasadena, CA ...

Skechers

Data Scientist

Manhattan Beach, CA

$93K - $130K/yr

They will build, test and document new or improved data science applications and machine learning techniques, develop innovative analytic reports, maintain best practices for change management and ...

Skechers

Data Scientist

Manhattan Beach, CA · On-site

$93K - $130K/yr

They will build, test and document new or improved data science applications and machine learning techniques, develop innovative analytic reports, maintain best practices for change management and ...

SynergisticIT

Data Scientist

Encino, CA · On-site

$70K - $125K/yr

Data Scientist Salary- $70k-$125k Per Year Job Type- Full-Time Location- CA Description: At ... Our seasoned team firmly believes that the new tech talent can scale any business if given the ...

Skechers U.S.A.

Data Scientist

Manhattan Beach, CA · On-site

$93K - $130K/yr

They will build, test and document new or improved data science applications and machine learning techniques, develop innovative analytic reports, maintain best practices for change management and ...

Los Angeles Lakers

Data Scientist

El Segundo, CA · On-site

G League, Player Health, NBA Draft) • Operate in both the ad-hoc and the long-term, creating new ... data science or machine learning role • Proficiency in Python or equivalent language for end-to ...

HeyGen

Data Scientist

Los Angeles, CA · On-site

$170K - $220K/yr

Data Scientist San Francisco, Palo Alto, Los Angeles About HeyGen At HeyGen, our mission is to make ... Partner with product teams and leadership to define new metrics and make prioritization decisions ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131.20K - $172.20K/yr

This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

REVOLVE

Data Scientist

Cerritos, CA · On-site

$90K - $120K/yr

Main purpose of the Data Science Analyst role: Use a diverse skill sets across math and computer ... High comfort level with programming, ability to learn and adopt new technology with short turn ...

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New Grad Data Scientist information

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$40.4K

$132.3K

$211.7K

How much do new grad data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for new grad data scientist in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a New Grad Data Scientist, and why are they important?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What are New Grad Data Scientists?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Los Angeles, CA? For New Grad Data Scientist jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching New Grad Data Scientist jobs in Los Angeles, CA look for? The top searched job categories for New Grad Data Scientist jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for New Grad Data Scientist jobs? Cities near Los Angeles, CA with the most New Grad Data Scientist job openings:
New Grad Data Scientist jobs near you

Data Scientist

AEG Presents

El Segundo, CA • On-site

$150K - $160K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Title: Data Scientist, Basketball Data Strategy
Department: BasketballData Strategy, Basketball Operations
Reports to: Senior Data Scientist, Basketball Data Strategy
Manages: None
Position Summary: The Data Scientist, Basketball Data Strategy is a critical member of the Basketball Data Strategy team. Reporting to the Senior Data Scientist, Basketball Data Strategy, they will develop, test, and maintain predictive models and metrics for player evaluation, roster construction, player development, and in-game strategy. They will work with the Development team to create data visualizations and applications to assist in the consumption of results, and with the Data Engineering team to perform crucial data maintenance and upkeep of models and metrics. The Data Scientist will primarily work under the direction of the Senior Data Scientist and collaborate with other members of the Basketball Data Strategy team to provide tools needed for team success.
Essential Functions (Duties & Responsibilities**):
  • Utilize statistical analysis, machine learning, and predictive modeling techniques to provide solutions for Basketball Operations
  • Drive development of production-level models - from exploratory data analysis and problem framing all the way through model validation and deployment
  • Integrate novel research, basketball metrics, and models into existing and new applications
  • Originate innovative ways to analyze / summarize data from existing and new stakeholders (e.g. G League, Player Health, NBA Draft)
  • Operate in both the ad-hoc and the long-term, creating new research and sustainable solutions as necessary in collaboration with the rest of the Basketball Operations department
  • Manipulate and leverage large data for analysis and modeling; source, process, and understand new datasets that may aid in potential evaluations
  • Translate data-driven results into actionable basketball decisions and recommendations
**Responsibilities subject to change based on organizational needs and direction from management.
Education:
  • Bachelor's in Statistics, Computer Science, or a related field, or equivalent academic or professional experience
Minimum Qualifications:
  • 3+ years of professional experience in a data science or machine learning role
  • Proficiency in Python or equivalent language for end-to-end model development
  • Experience using modern machine learning and deep learning techniques (e.g. scikit-learn, TensorFlow) to build robust models
  • Expertise with techniques to analyze and use large data sets (e.g. PySpark, SQL); willingness to work with geolocation tracking data and biomechanical data
  • Familiarity with distributed computing and cloud-first principles
  • Ability to write clean and efficient code; proficiency with version control and code modularization
  • Strong communication skills
  • Experience with time series/probabilistic forecasting, MLOps and GPU computing is a plus
Other Qualifications:
  • Adaptable, eager to self-learn new technical skills
  • Knowledge of and passion for NBA basketball

Location: El Segundo (office M-F), and other occasional off-site events
Travel: Less than 5% of the time
Hours: Full-time.Must be available to work evenings, weekends, and holidays as reasonably required
The pay range for this role is $150,000 - $160,000 annually. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience and certifications. In addition to those factors, we consider the relative pay of our current employees in similar positions when making a final offer.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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