An Analytics Engineer at Reddit joins the Data Science team to build and maintain data pipelines, data quality checks, and internal analytics tools using Python, SQL, Spark, and Airflow, collaborating with data scientists and engineers across Consumer, Ads, and Marketing to deliver trustworthy data products.
Leads Reddit's Ads Data Science strategy, designing foundational ML and statistical solutions for the ads marketplace while mentoring senior data scientists and partnering with product and engineering teams. Uses Python/R, SQL, causal inference, econometrics, and experimentation to optimize advertiser ROI and revenue.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on…
A Staff Data Scientist on Reddit's Ads Data Science team owns a high-impact problem space spanning measurement, identity resolution, and signal quality — designing probabilistic identity models, lift methodologies, and signal strategies that improve advertiser bidding efficiency and ROAS.
Staff Data Scientist leading ads measurement, identity resolution, and signal quality for Reddit's advertising platform, designing probabilistic models, lift methodologies, and evaluation frameworks using Python/R, SQL, and ML.
Senior Software Engineer on Reddit's Agentic Ads Experience team building AI-powered advertiser-facing interfaces (campaign assistants, creative generation, audience discovery) using generative AI, LLMs, and agentic systems; requires 5+ years production engineering and hands-on gen AI application experience.
Senior Staff Data Scientist leading relevance measurement and evaluation for Reddit's Consumer team, partnering with Feeds and Search ML teams to design metrics, experiments, and analytical frameworks for ranking and recommendation systems at scale using SQL, Python/R, and causal inference.
Staff Data Scientist who leads Reddit's Marketing Intelligence strategy, owning the multi-year measurement roadmap, MMM/MTA models, and incrementality experiments that optimize hundreds of millions in B2B advertiser and B2C user growth spend. Works with Python/R, SQL, and machine learning, mentors scientists, and influences C-suite stakeholders on marketing budget allocation.
Lead Reddit's marketing measurement strategy as a Staff Data Scientist, owning MMM/MTA systems, incrementality testing, and causal inference to optimize B2B and B2C marketing spend using Python/R and SQL.
Senior Data Scientist on Reddit's Ads team building ML models and statistical solutions to optimize advertiser experience and platform performance, using Python, Spark, and large-scale data analysis.
A Senior Data Scientist on Reddit's Consumer team partners with Product, Engineering, Design, and other stakeholders to shape product strategy through metrics design, A/B testing, causal analysis, and deep data analysis. They build ETLs, dashboards, and self-serve tools using SQL and Python/R, and mentor junior data scientists.
Staff Data Scientist on Reddit's Ads Data Science team, focusing on ads measurement, identity resolution, lift experimentation, and predictive modeling to maximize advertiser value. Uses Python/R, SQL, and advanced statistical methods to design identity graphs, lift methodologies, and signal quality frameworks.
Staff Data Scientist on Reddit's Ads Data Science team, designing probabilistic identity models, advancing lift experimentation, and optimizing signal quality for ad measurement and predictive performance. Requires advanced degree, 6-10+ years experience, deep ads expertise, and proficiency in Python/R, SQL, ML, and causal inference.
Owns AssemblyAI's agent experience so coding agents (Claude Code, Cursor, Codex) can integrate Speech-to-Text, Voice AI, and LLM APIs on the first try. Builds agent skills and MCP integrations, writes agent-ready docs/llms.txt and samples, tunes prompts, and measures success with agent evals using JavaScript and Python.
The engineer will design and build the backend and database architecture for a proprietary technology platform, integrating it with an existing frontend and preparing it for production release. Core technologies include PostgreSQL/SQL, Python or Node.js/TypeScript, APIs, and application security controls.
Senior QA Engineer who owns quality for Makai's automation platform: designing test strategies, running manual/API/regression tests, validating backend data with SQL, building foundational automation (Cypress/Playwright/Selenium), reporting release readiness, and mentoring the QA team—fully remote.
Conducts penetration tests across network, web, cloud, and mobile environments for clients as part of Palo Alto Networks' Unit 42 offensive security team, using tools like Metasploit, Burp Suite, and Cobalt Strike, and delivering reports and remediation recommendations.
Leads expansion of Snowplow's internal AI platform Firn, unifying GTM services into production-grade platform services. Owns agents, MCP/LLM gateways, tracing, eval, and platform roadmap using Python/TypeScript, SQL, Snowflake, dbt, and cloud infrastructure.
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