Data Scientist Jobs in Los Angeles, CA
Data Scientist jobs in Los Angeles are concentrated in Silicon Beach, Downtown Los Angeles, and El Segundo, with strong demand across entertainment technology, healthtech, and aerospace analytics. Employers actively hiring include Whatnot, TikTok, and SentiLink. See the openings below and apply to the ones that match your experience.
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Showing 5 of 34+ Data Scientist jobs
INTRODUCTION
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.
We’re looking for a Data Scientist to join Snap Inc.!
ROLE AND RESPONSIBILITIES
What you’ll do:
- Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
- Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
- Collaborate with product managers, engineers, product marketers, and designers
- Utilize AI tools and high-velocity analytical workflows to develop scalable data solutions, generate actionable insights, and accelerate decision-making while maintaining rigorous standards for accuracy, methodological integrity, data quality, and operational excellence
KNOWLEDGE, SKILLS AND ABILITIES
- Expertise using data modeling skills to identify key product trends and new product opportunities
- Ability to design implement, and track core metrics to analyze the performance of our products
- Ability to create visuals, dashboards, and reports to effectively communicate your insights
- Ability to collaborate with engineers, product managers, and other cross-functional teams
- Ability to initiate and drive projects to completion with minimal guidance
- An understanding of Snapchat with great product sense and product understanding
- Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices
MINIMUM QUALIFICATIONS
- Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
- 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science; or a Ph.D. in a relevant technical field.
PREFERRED QUALIFICATIONS
- 3+ years of Experience using SQL or similar big data querying languages
- 3+ years of Experience with programming language, such as Python or R
- 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
- Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
- Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
- Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
OUR BENEFITS
Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
COMPENSATION
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $157,000-$235,000 annually.
Zone B:
The base salary range for this position is $149,000-$223,000 annually.
Zone C:
The base salary range for this position is $133,000-$200,000 annually.
This position is eligible for equity in the form of RSUs.
INTRODUCTION
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.
We’re looking for a Data Scientist to join Snap Inc.!
ROLE AND RESPONSIBILITIES
What you’ll do:
- Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
- Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
- Collaborate with product managers, engineers, product marketers, and designers
- Utilize AI tools and high-velocity analytical workflows to develop scalable data solutions, generate actionable insights, and accelerate decision-making while maintaining rigorous standards for accuracy, methodological integrity, data quality, and operational excellence
KNOWLEDGE, SKILLS AND ABILITIES
- Expertise using data modeling skills to identify key product trends and new product opportunities
- Ability to design implement, and track core metrics to analyze the performance of our products
- Ability to create visuals, dashboards, and reports to effectively communicate your insights
- Ability to collaborate with engineers, product managers, and other cross-functional teams
- Ability to initiate and drive projects to completion with minimal guidance
- An understanding of Snapchat with great product sense and product understanding
- Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices
MINIMUM QUALIFICATIONS
- Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
- 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science; or a Ph.D. in a relevant technical field.
PREFERRED QUALIFICATIONS
- 3+ years of Experience using SQL or similar big data querying languages
- 3+ years of Experience with programming language, such as Python or R
- 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
- Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
- Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
- Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
OUR BENEFITS
Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
COMPENSATION
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $157,000-$235,000 annually.
Zone B:
The base salary range for this position is $149,000-$223,000 annually.
Zone C:
The base salary range for this position is $133,000-$200,000 annually.
This position is eligible for equity in the form of RSUs.
See All 34 Data Scientist Jobs in Los Angeles
Find roles in Los Angeles that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Job Market in Los Angeles
Who's Hiring
- Whatnot6
- TikTok5
- SentiLink4
- TikTok USDS JV3
- PwC2
Top Industries Hiring
- Technology & Software11
- Retail6
- E-Commerce & Online Marketplaces4
- Insurance2
- Social Media2
Data Scientist Jobs in Los Angeles: Frequently Asked Questions
How do I get a data scientist job in Los Angeles?
Focus your search on the sectors driving the most Los Angeles hiring: streaming and entertainment technology in Culver City and Santa Monica, aerospace and defense analytics in El Segundo and Hawthorne, and healthtech firms in the Westside and Downtown corridors. Candidates who combine strong Python or R skills with domain fluency in media, defense systems, or clinical data stand out locally. Networking through LA Tech and Santa Monica tech meetups also helps.
Which companies hire data scientists in Los Angeles?
Companies currently hiring data scientists in Los Angeles include Whatnot, TikTok, and SentiLink, per current listings on Migrate Mate as of June 2026. Los Angeles attracts a mix of major entertainment studios, aerospace contractors, health systems, and fast-growing consumer tech startups, making the employer landscape unusually diverse compared to most U.S. markets.
Are there remote data scientist jobs in Los Angeles?
Yes, data scientist roles are among the more remote-friendly positions in tech because the core work centers on analysis, modeling, and code rather than physical presence. About 69% of data scientist openings tied to Los Angeles are remote or hybrid as of June 2026, with the highest remote share in software and fintech firms. Roles at entertainment studios and aerospace contractors tend to require more on-site days.
How can I get a data scientist job in Los Angeles with little or no experience?
The most realistic entry path in Los Angeles is through junior analyst or data analyst roles at mid-size healthtech or adtech companies, which often promote internally into data science. Los Angeles-based accelerators and UCLA and USC alumni networks frequently post entry-level openings. Building a portfolio with entertainment or media datasets is a concrete differentiator here, and contract or freelance projects at production tech firms can open the door to full-time roles.
Which industries hire the most data scientists in Los Angeles?
The sectors hiring the most data scientists in Los Angeles are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of June 2026. Los Angeles's unique position as both a major entertainment hub and a growing aerospace and healthtech center creates demand for data scientists with specialized domain knowledge that differs from what you'd find in San Francisco or New York.
Related Jobs in California
See All 34 Data Scientist Jobs in Los Angeles
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