Data Scientist, Video Analytics at Reddit
🇺🇸 United States › California › San Francisco (Posted Feb 11 2021)
“The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to join our Video team as a Data Scientist to shape the future of the rich media experience on the internet.
How You’ll Have Impact:
The Video team works on improving the creation, curation, discovery and viewing of video across Reddit’s surfaces, including feeds and RPAN. As a Data Scientist on this team, you will produce insights and frameworks that will drive product strategy. You will be a key player in guiding Reddit to continuously build more empathy and deeper understanding of user experience through data. Your contributions will be crucial for accelerating growth of the video content creation and consumption ecosystem on Reddit, ultimately helping more people find communities to be part of.
What You’ll Learn:
You will be part of a high-performing team with a proven track record at launching and optimizing video products, learning from other professionals in Product, Engineering, and Research. You will also be part of a global data organization where you will connect and learn from world-class practitioners in the data space across analytics, modeling, data engineering, search, ML research and applied ML.
What You’ll Do:
Make it easy for everyone to be data driven by defining product metrics and goals, building dashboards, analysing and communicating performance
Design and evaluate product experiments and rollouts ensuring the team is optimizing for learning and refinement of Reddit’s strategy
Perform exploratory data analysis and research to build deeper understanding of viewers and creators of video on Reddit
Identify features and attributes of content and communities that can be leveraged within ML frameworks powering next generation of products
Scale and take away complexity of working with big data by creating and maintaining ETLs of video metrics
Who You Might Be:
2+ years of experience in quantitative or data science roles, preferably for a consumer-facing or video-centric service/app
Expertise with SQL
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Understand how to measure success and use metrics to optimize products
Ability to communicate and discuss complex topics with technical and non-technical audiences.
Other machine learning jobs that might be interesting
Machine Learning Engineer - Stripe (March 2021)
Remote US, 100% Remote
Machine Learning Engineer, Fraud Intelligence
Stripe builds the economic infrastructure for the internet. Building trust between banks, businesses & customers is a key ingredient for Stripe to be successful. Unfortunately, fraudsters & bad actors erode that t...
Senior Fullstack Engineer: Greenfield Machine Learning Initiatives - GitLab (March 2021)
Worldwide, 100% Remote
Those in Single Engineer Groups (SEG) at GitLab work in the engineering department to initiate a planned or minimal maturity category into the GitLab project. The MLOps single engineer group has a focus on MLOps, which will be focused on enabling data teams to...
Machine Learning Engineering and Data Science Engineering Roles - Salesforce (February 2021)
San Francisco, California, United States (Remote work possible)
California - Remote
California - Palo Alto
California - San Francisco
Massachusetts - Remote
Massachusetts - Boston
Massachusetts - Burlington
Massachusetts - Cambridge
Massachusetts - Somerville
Washington - Bellevue
Machine Learning Engi...
Staff Software Engineer, Machine Learning Platform - Coinbase (February 2021)
Remote US, 100% Remote
Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream ...
Data Scientist - ELSA (February 2021)
Worldwide, 100% Remote
At ELSA we know how important it is to know our customers in order to serve them best. For this reason we adapt many aspects of the apps and the speech processing algorithms based on what we learn from our users over time. We are now setting up a data...