Reddit is a community of communities. Its 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 the topics they care most about. With 100000 active communities and approximately 126 million daily active unique visitors Reddit is one of the internets largest sources of information. For more information visit .
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open so you can come into the office as often as youd like. Dont live near one of our offices No worries: You can apply to work remotely in any country in which we have a physical presence
We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization focused on the Sales and Marketing domain. We are looking for someone who can work closely with Data Scientists and members of Sales and Marketing cross-functional teams to curate develop and deploy the right data and analytic tooling to drive Reddits business forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to grow our Sales and Marketing reach.
Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering and the ideal candidate has skills experience and passion in both areas.
Responsibilities:
Be the Analytics Engineering lead within the Sales and Marketing organization and a key contributor to the success of Data Science data quality performance and automation initiatives.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data while also creating ETLs reporting dashboards data aggregations and other deliverables needed for business tracking advertiser outreach and acquisition marketing campaigns and other data-driven activities.
Develop and maintain robust data pipelines and workflows for data ingestion processing and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.
Create user-friendly tools and applications for internal use across Data Science and cross-functional teams streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation consistency and reliability.
Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.
Provide technical guidance mentorship coaching and/or training to data scientists and other technical partners.
Serve as a thought partner for data scientists engineering managers and leadership on data foundations communicating and shaping the data foundations roadmap and strategy for Reddit.
Required Qualifications:
Advanced degree in a quantitative discipline such as statistics operations research computer science applied mathematics economics or physics
For M.S. holders: 5 years of industry experience working with large-scale ETL systems (implementation strategy and maintenance) building clean maintainable code and systems (Python preferred) in a production environment.
For Ph.D. holders: 4 years of industry experience working with large-scale ETL systems (implementation strategy and maintenance) building clean maintainable code and systems (Python preferred) in a production environment.
Experience working in Sales and Marketing domains.
Strong programming proficiency in Python SQL Spark Scala etc.
Experience with data modeling ETL and ELT concepts and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
Experience with data workflows (such as Airflow) data modeling front-end or back-end engineering.
Experience in data visualization and dashboard design including tools such as Looker Tableau R visualization packages streamlit D3 and other libraries etc.
Deep understanding of technical and functional designs for relational and MPP Databases.
Proven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company of differing levels of technical acumen.
Experience in mentoring junior data scientists and analytics engineers.
Self-starter ability to work independently and autonomously as well as part of a team.
Nice to have:
Sales and Marketing domain experience
Past experience collaborating closely with data scientists sales and marketing managers
Benefits:
Global Benefit programs that fit your lifestyle from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Comprehensive Medical Benefits & Health Care Spending Account
Registered Retirement Savings Plan with matching contributions
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-REMOTE
In select roles and locations the interviews will be recorded transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording transcription and summarization prior to any scheduled interviews.
During the interview we will collect the following categories of personal information: Identifiers Professional and Employment-Related Information Sensory Information (audio/video recording) and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information including our retention of it please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If due to a disability you need an accommodation during the interview process please let your recruiter know.
Required Experience:
Senior IC
Reddit is a community of communities. Its 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 the topics they care most about. With 100000 active communities and approximately 126 mill...
Reddit is a community of communities. Its 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 the topics they care most about. With 100000 active communities and approximately 126 million daily active unique visitors Reddit is one of the internets largest sources of information. For more information visit .
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open so you can come into the office as often as youd like. Dont live near one of our offices No worries: You can apply to work remotely in any country in which we have a physical presence
We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization focused on the Sales and Marketing domain. We are looking for someone who can work closely with Data Scientists and members of Sales and Marketing cross-functional teams to curate develop and deploy the right data and analytic tooling to drive Reddits business forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to grow our Sales and Marketing reach.
Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering and the ideal candidate has skills experience and passion in both areas.
Responsibilities:
Be the Analytics Engineering lead within the Sales and Marketing organization and a key contributor to the success of Data Science data quality performance and automation initiatives.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data while also creating ETLs reporting dashboards data aggregations and other deliverables needed for business tracking advertiser outreach and acquisition marketing campaigns and other data-driven activities.
Develop and maintain robust data pipelines and workflows for data ingestion processing and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.
Create user-friendly tools and applications for internal use across Data Science and cross-functional teams streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation consistency and reliability.
Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.
Provide technical guidance mentorship coaching and/or training to data scientists and other technical partners.
Serve as a thought partner for data scientists engineering managers and leadership on data foundations communicating and shaping the data foundations roadmap and strategy for Reddit.
Required Qualifications:
Advanced degree in a quantitative discipline such as statistics operations research computer science applied mathematics economics or physics
For M.S. holders: 5 years of industry experience working with large-scale ETL systems (implementation strategy and maintenance) building clean maintainable code and systems (Python preferred) in a production environment.
For Ph.D. holders: 4 years of industry experience working with large-scale ETL systems (implementation strategy and maintenance) building clean maintainable code and systems (Python preferred) in a production environment.
Experience working in Sales and Marketing domains.
Strong programming proficiency in Python SQL Spark Scala etc.
Experience with data modeling ETL and ELT concepts and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
Experience with data workflows (such as Airflow) data modeling front-end or back-end engineering.
Experience in data visualization and dashboard design including tools such as Looker Tableau R visualization packages streamlit D3 and other libraries etc.
Deep understanding of technical and functional designs for relational and MPP Databases.
Proven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company of differing levels of technical acumen.
Experience in mentoring junior data scientists and analytics engineers.
Self-starter ability to work independently and autonomously as well as part of a team.
Nice to have:
Sales and Marketing domain experience
Past experience collaborating closely with data scientists sales and marketing managers
Benefits:
Global Benefit programs that fit your lifestyle from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Comprehensive Medical Benefits & Health Care Spending Account
Registered Retirement Savings Plan with matching contributions
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-REMOTE
In select roles and locations the interviews will be recorded transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording transcription and summarization prior to any scheduled interviews.
During the interview we will collect the following categories of personal information: Identifiers Professional and Employment-Related Information Sensory Information (audio/video recording) and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information including our retention of it please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If due to a disability you need an accommodation during the interview process please let your recruiter know.
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