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Location: US remote-friendly
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We are looking for a talented and driven individual to be a founding member of our Analytics Engineering team within the Data Science organization, focused on the Ads domain. We are looking for someone who can work closely with fellow data scientists along with members of ads cross-functional teams to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s business forward and provide a data and tooling foundation that will last decades.
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 Ads DS team and a key contributor to the success of data science data quality, performance, and automation initiatives
- You will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive) and in working on ETLs, reporting dashboards, and data aggregations needed for business tracking and/or ML model development
- Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation, while working 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, and driving widespread adoption of these tools and applications
- 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 analysts
- 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:
- MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
- 7+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment
- 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
- 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:
- Ads domain experience, including metrics, tracking, and ads product understanding, is a big plus
- Past experience collaborating closely with data scientists, machine learning engineers, and product managers
Benefits:
- Comprehensive Healthcare Benefits
- 401k Matching
- Workspace benefits for your home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation (please use them!) & Reddit Global Wellness Days
- 4+ months paid Parental Leave
- Paid Volunteer time off
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is:
$217,000—$303,900 USD
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 you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.
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What We Do
Reddit is a community of millions of users engaging in the creation of content and the sharing of conversation across tens of thousands of topics. Our mission is to bring community, belonging, and empowerment to everyone in the world.
Why Work With Us
At Reddit, you’ll help build something that encourages millions around the world to think more, do more, learn more, feel more– and maybe even laugh more.
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