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Temporary Reddit Data Science Jobs in California

Brex

Data Analyst II

San Francisco, CA · On-site

$93K - $117K/yr

... Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and ... Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ...

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Temporary Reddit Data Science information

What does a temporary Reddit data scientist do?

A Temporary Reddit Data Science role typically involves analyzing Reddit's user data, content trends, and platform activity for a fixed period of time. Data scientists in this role use statistical methods and machine learning to interpret large datasets, generate actionable insights, and support decision-making. They may work on projects such as user engagement analysis, recommendation algorithms, or community growth metrics. Since the position is temporary, it often focuses on specific short-term projects or needs within Reddit's data team.

What are the key skills and qualifications needed to thrive as a temporary Reddit data scientist, and why are they important?

To thrive as a Temporary Reddit Data Scientist, you need strong statistical analysis, programming skills (often in Python or R), and experience with data manipulation and visualization, typically supported by a relevant degree in data science, statistics, or a related field. Familiarity with tools such as SQL, Jupyter notebooks, machine learning frameworks, and Reddit's API is commonly required. Analytical thinking, curiosity, and effective communication are essential soft skills for interpreting data insights and collaborating with cross-functional teams. These skills enable data-driven decision-making and help optimize user engagement and platform features during a temporary assignment.

What are the main challenges faced by a temporary Reddit data scientist, and how can they effectively contribute in a short-term role?

As a Temporary Reddit Data Science professional, one of the main challenges is quickly acclimating to Reddit’s unique data structures, fast-paced team dynamics, and ongoing projects. You will need to rapidly understand existing pipelines, tools, and business objectives to provide meaningful insights within a short timeframe. Effective collaboration with cross-functional teams—such as engineering, product, and community management—is crucial for success. Being proactive in asking questions and leveraging documentation will help you make impactful contributions despite the limited duration of the assignment.

What is the difference between Temporary Reddit Data Science vs Temporary Reddit Data Analyst?

AspectTemporary Reddit Data ScienceTemporary Reddit Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's in Data Analysis, Statistics, or related fields
Work EnvironmentCollaborative teams, research-focused projects, tech companiesBusiness units, marketing teams, product teams
Employer & Industry UsageTech companies, social media platforms, research firmsMarketing agencies, e-commerce, social media platforms
Common Search & ComparisonOften compared for data-driven roles involving complex modelingCompared for roles focusing on data interpretation and reporting

Temporary Reddit Data Science roles typically involve advanced analytics, machine learning, and modeling tasks requiring higher technical expertise. In contrast, Temporary Reddit Data Analyst positions focus on data interpretation, reporting, and supporting decision-making processes. Both roles are essential in social media and tech industries but differ in technical depth and responsibilities.

What are the most commonly searched types of Reddit Data Science jobs in California? The most popular types of Reddit Data Science jobs in California are:
What cities in California are hiring for Temporary Reddit Data Science jobs? Cities in California with the most Temporary Reddit Data Science job openings:
Temporary Reddit Data Science jobs near you
Infographic showing various Temporary Reddit Data Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Software Engineer, Data Enablement Platform

Brex

San Francisco, CA • On-site

$192K - $240K/yr

Full-time

Re-posted 14 days ago

Job description

Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
Our Scientists and Engineers work together to make data - and insights derived from data - a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using financial data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our consumers.
What you'll do
This position is on our Data Enablement Platform team. The Brex product requires a huge amount of data to power our client experiences. With a largely async architecture, proliferation of services and multiple operations systems, this data originates from many different sources and in different forms. To ensure that our product experience is unbounded in how it leverages this data, the Data Enablement Platform team owns and operates the systems required to deliver it to our clients, and partners with them to create impactful data-backed products. As a DEP team member you will help build Brex's Data Infrastructure and also work across the entire data stack to help product teams build data backed products.
Responsibilities
  • Build, improve, and maintain Brex's data platform and infrastructure: data warehouse & analytics, data streaming, replication and materialization, data orchestration, data observability, access & governance.
  • Partner with Brex's product teams, data science and analytics teams to help them launch superior products backed by data insights.
  • Level up the data competency at Brex through partnership and education.
  • Invest in building resilient data architectures, participate in on-call rotations, and continuously improve our operational efficiency.

Requirements
  • 5+ years of professional experience in a data infra or data platform role
  • Experience with one or more of Snowflake, Flink, Airflow, dbt, CDC
  • Fluency in Kotlin or Kotlin like development languages such as Python
  • Experience building and maintaining large-scale modern data stack
  • Experience with streaming infra like Kafka
  • Experience in backend engineering or full-stack development
  • Strong communication and collaboration skills, especially working across team boundaries and building XFN relationships
  • Must be willing to work in office 3 days a week on Mondays, Wednesdays and Fridays

Bonus points
  • Experience collaborating with product teams or building full-stack data backed products
  • Experience with data architecture and data strategy

Compensation:
The expected salary range for this role is $192,000-$240,000 USD. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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