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Evening Data Science Intern Jobs in California (NOW HIRING)

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data Science team on the systems that turn millions of customer conversations into intelligence. You'll ...

DEUNA

Data Science intern

San Francisco, CA

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

DEUNA

Data Science intern

San Francisco, CA · On-site

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. As a data scientist intern, you will work ...

Stand Insurance

Fire Science Intern

San Francisco, CA · On-site

$30/hr

It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as ... Role Description: We're seeking a Fire Science Engineering Intern to support Stand's fire ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

Scopely

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

... Science, Statistics, or related quantitative field (or foreign equivalent). 1 year of experience in the job offered, as a Data Analytics Engineer Intern, Marketing Analyst Intern, Game Operation ...

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All JobsEvening Data Science Intern JobsEvening Data Science Intern Jobs in California

Evening Data Science Intern information

What are the key skills and qualifications needed to thrive as an Evening Data Science Intern, and why are they important?

To thrive as an Evening Data Science Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with tools like SQL, Jupyter Notebooks, and libraries such as pandas, scikit-learn, or TensorFlow is common, and experience with data visualization platforms can be beneficial. Strong problem-solving skills, attention to detail, and effective communication help interns present insights and collaborate with teams. These abilities enable interns to contribute meaningful analyses and support data-driven decision-making in a professional setting.

What is an Evening Data Science Intern?

An Evening Data Science Intern is a student or early-career professional who works part-time, typically during evening hours, to assist with data science projects at a company or organization. Their responsibilities often include data cleaning, analysis, visualization, and supporting machine learning model development under the guidance of experienced data scientists. This role is ideal for individuals who have daytime commitments, such as school or another job, but want to gain practical experience and build their skills in data science. Evening internships can also provide flexibility and exposure to real-world data challenges.

What is the difference between Evening Data Science Intern vs Data Science Intern?

AspectEvening Data Science InternData Science Intern
Work HoursTypically evening or night shiftsStandard daytime hours
Work EnvironmentRemote or flexible, often part-timeUsually in-office or full-time remote
Required CredentialsLikely pursuing related degree, basic programming skillsSimilar educational background, entry-level
Industry UsageCommon in companies with 24/7 operationsStandard internship in tech and data firms

Both roles involve assisting with data analysis, modeling, and reporting. The main difference lies in work hours and environment, with Evening Data Science Interns working during evenings or nights, often part-time, while Data Science Interns typically work during regular daytime hours. The choice depends on your schedule and career goals, but both provide valuable industry experience.

What can an Evening Data Science Intern expect in terms of mentorship and collaboration during their internship?

As an Evening Data Science Intern, you will typically work closely with both junior and senior data scientists, often participating in regular team check-ins and project meetings that accommodate evening hours. Mentorship is commonly provided through code reviews, paired programming, and access to experienced team members who can guide you through complex problem-solving. You'll have opportunities to contribute to ongoing data projects, analyze real datasets, and present your findings, fostering both technical and communication skills. Collaboration tools like Slack, GitHub, and virtual meetings are often used to facilitate seamless teamwork across different schedules.
What are the most commonly searched types of Data Science Intern jobs in California? The most popular types of Data Science Intern jobs in California are:
What cities in California are hiring for Evening Data Science Intern jobs? Cities in California with the most Evening Data Science Intern job openings:
Evening Data Science Intern jobs near you

Data Science Intern

Centerfield

Los Angeles, CA • On-site

Internship

Re-posted 7 days ago

Job description

Hi, We're Centerfield!
Supercharged customer acquisition. Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for the world's leading brands. Powered by our proprietary Dugout platform, Centerfield acquires customers at scale for leading residential service, insurance, e-commerce, and B2B brands. Centerfield's digital experiences and digital brands, such as Business.com and BroadbandNow.com, reach more than 150 million in-market shoppers annually. Centerfield is headquartered in Silicon Beach and is proud to be recognized by Built in LA as a Best Place to Work in Los Angeles.
The Opportunity...
Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data Science team on the systems that turn millions of customer conversations into intelligence. You'll contribute directly to our call intelligence and customer data platforms - helping us extract behavioral signals from phone calls, validate predictive models, and activate that intelligence to personalize experiences for over 150 million shoppers annually. This is a builder's internship: you'll write real code, work with real data, and ship work that informs real business decisions, all with the mentorship and support of an experienced DS bench.
How You'll Contribute...
  • Trait Extraction & Analysis: Analyze call transcripts and help build and refine rules that extract behavioral and intent signals, measuring their accuracy against human-labeled benchmarks.
  • Model Validation: Support the team in validating predictive models and traits feeding into our customer data platform - quantifying how well signals correlate with conversion, retention, and customer value.
  • Data Exploration: Profile and clean high-volume data, surface patterns and quality issues, and translate findings into clear, actionable summaries for the team.
  • LLM & GenAI Experimentation: Get hands-on with modern GenAI workflows -prompting, evaluation, and lightweight RAG experiments - to help assess summary quality and reduce hallucinations in production outputs.
  • Communicate Findings: Build charts, notebooks, and short write-ups that make your analysis easy for both technical and business stakeholders to act on.

What We're Looking For...
  • Education: Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
  • Programming: Solid foundation in Python and familiarity with core data libraries (e.g., pandas, NumPy, scikit-learn) through coursework, research, or personal projects.
  • ML & Stats Fundamentals: Working understanding of machine learning concepts and applied statistics - regression, classification, evaluation metrics, and basic experimental thinking.
  • Data Skills: Comfortable querying and manipulating data with SQL, and curious about working with large, messy, real-world datasets.
  • GenAI Curiosity: Genuine interest in LLMs and Generative AI, with some hands-on exposure (prompting, an API project, a course, or experimentation) even if not yet professional.
  • Mindset: Self-starter who communicates clearly, asks good questions, and is eager to take a problem from notebook to a result the team can use.

Bonus Points!
  • Cloud Exposure: Any experience with a major cloud platform, especially GCP (BigQuery, Vertex AI), is a plus.
  • NLP / Text Data: Prior work with natural language processing, transcripts, or unstructured text data.
  • Graph or CDP Concepts: Familiarity with graph databases (e.g., Neo4j) or customer data/identity resolution concepts.
  • Visualization: Experience building dashboards or visualizations to tell a story with data

Intern Life at Centerfield...
  • This is a hybrid position, and employees are expected to work in our Playa Vista, CA office every Tuesday, Wednesday & Thursday.
  • Outside patio overlooking Playa Vista + cabanas, firepits & working grills.
  • Breakroom supplied with games, couches, workout equipment + weekly in-office exercise classes hosted by professional instructors (yoga, kickboxing & circuit training).
  • Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup, etc.).
  • Unlimited free snacks and drinks around the office!
  • Monthly happy hours, catered Thursday lunches.
  • Award-winning culture & unprecedented team spirit (featured in LA Business Journal & Built In LA Best Places to Work).
  • Monthly team outings (ball games, casino night, hikes, etc.).
  • Career growth - we enjoy promoting from within!

#LI-Hybrid
#LI-AA1
AI & Interview Policy
At Centerfield, we use AI tools internally to support efficiency and fairness in our hiring process, including resume screening and administrative tasks.
Candidates are welcome to use AI tools ethically to prepare for interviews, such as practicing responses or researching questions. However, all responses during the interview process should reflect your own knowledge, experience, and judgment.
The use of AI tools to generate responses during live interviews, technical assessments, or written submissions is not permitted unless explicitly stated otherwise.
To learn more, visit us Here.
Interviews will take place after resumes have been screened for the minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.
For more information about our collection, use, and disclosure of your personal information in connection with our evaluating your candidacy, please visit our Privacy Policy at https://www.centerfield.com/privacy-policy/.
Centerfield Media is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

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