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Temporary Reddit Data Science Jobs in California

You will report into the Data Science org and work closely with product and engineering. You Will ... temporary roles are not eligible for the above benefits. Compensation Pay Range: $160k - $240k ...

Growth Lead, SMB Ads

San Francisco, CA · On-site

$284K - $315K/yr

We partner closely with Product, Engineering, Data Science, Sales, Partnerships, Finance ... Reddit,, Shopify, Square, Intuit, HubSpot, or similar. * Have experience with advertiser ...

... web traffic, Reddit, Twitter, Discord, and LinkedIn). Founded 2025 · 1-10 people (Seed) · ... A technical background (CS, data science, or comparable) paired with a scrappy, fast-building ...

Showing results 41-60

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:
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 Paid Social Manager

Scribd, Inc

San Francisco, CA • On-site

$107K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd®, Slideshare®, Everand™, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.
Culture at Scribd, Inc.
We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.
So what are we looking for in new team members? At Scribd, Inc., we hire for "GRIT." Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.
This posting reflects an approved, open position within the organization.
About the Role
We're seeking an experienced Senior Paid Social Manager to join our performance marketing team, focusing on scaling our presence across Meta, TikTok, Reddit, and exploring other emerging social platforms. This role will be instrumental in driving user acquisition for our Everand and Fable products through social advertising strategies.
What you'll do:
  • Own and optimize paid social advertising budgets across Meta, TikTok, Reddit, and other social platforms for web and mobile app campaigns
  • Develop and execute paid social strategies aligned with our growth objectives and brand guidelines
  • Build and maintain sophisticated audience targeting frameworks, sustaining results through platform shifts and creative fatigue
  • Design and execute structured testing plans across bidding models, creative formats, and audience strategies; produce durable test plans and playbooks the team can reuse
  • Collaborate with Creative to develop high-performing ad content, influencing briefs with performance data
  • Leverage AI tools to accelerate experimentation and creative iteration. Ex: concept generation, dynamic creative optimization (DCO), and performance prediction to expand test velocity
  • Lead learning reviews and document test results so insights are actionable and built into future planning cycles
  • Partner with Product and Engineering to identify landing page friction points, propose A/B test hypotheses, and own a CRO testing roadmap across landing pages
  • Analyze funnel performance from ad click through to subscription activation, connecting paid media inputs to downstream conversion outcomes
  • Partner with data science to develop attribution models, incrementality tests, and LTV signaling pipelines
  • Own regular analytics and reporting; effectively communicate performance, wins, and challenges to stakeholders

Who you are:
  • 6+ years of experience managing paid social campaigns, with at least 3 years focused on subscription or D2C products
  • Proven track record of scaling social advertising spend efficiently while maintaining or improving LTV:CAC
  • Deep expertise in Meta Ads Manager, TikTok Ads, and Reddit Ads platforms, including structured testing across bidding, creative, and audience
  • Strong understanding of conversion optimization, audience targeting, and creative testing methodologies
  • Experience with attribution models and incrementality testing; able to pressure-test data and validate what actually drove performance before scaling
  • In-depth understanding of automated bid strategies with experience optimizing toward CPA or ROAS goals
  • Comfortable using AI tools in your day-to-day workflow (Ex: for creative concepting, performance analysis, or experimentation) and genuinely curious about how emerging tools change what's possible
  • Excellent analytical skills with proficiency in data visualization tools
  • Track record of cross-functional collaboration and stakeholder management

Preferred Qualifications
  • Experience marketing subscription products or digital content services
  • Google Tag Manager experience
  • Familiarity with mobile app marketing and app store optimization
  • Familiarity and eagerness to work with AI tools

At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States.
In the state of California, the reasonably expected salary range is between $107,500 [minimum salary in our lowest geographic market within California] to $165,000 [maximum salary in our highest geographic market within California].
In the United States, outside of California, the reasonably expected salary range is between $89,000 [minimum salary in our lowest US geographic market outside of California] to $156,000 [maximum salary in our highest US geographic market outside of California].
In Canada, the reasonably expected salary range is between $113,000 CAD[minimum salary in our lowest geographic market] to $144,000 CAD[maximum salary in our highest geographic market].
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.
Working at Scribd, Inc.
Are you currently based in a location where Scribd, Inc. can employ you?
Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:
United States:
Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.
Canada:
Ottawa | Toronto | Vancouver
Mexico:
Mexico City
Benefits at Scribd, Inc.
  • Scribd Flex (flexible work model)
  • Comprehensive health, dental, and vision coverage
  • Mental health support and disability coverage
  • Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
  • Paid parental leave and family support benefits
  • Retirement matching and employee equity
  • Learning and development programs and professional growth opportunities
  • Wellness and home office stipends
  • Complimentary access to the Scribd, Inc. suite of products
  • Enterprise access to leading AI tools

Get to Know Scribd, Inc.
About Scribd, Inc.
Life at Scribd, Inc.
We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.
If you apply for a job with Scribd or otherwise engage with us in connection with employment (including as an employee, contractor, or other personnel), the personal information we process in that context is subject to our Employee and Applicant Privacy Policy, which is available here.
Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.