Senior Staff Data Scientist – Consumer Relevance

Related keywords: data scientist remote jobdata science remote jobmental health remote job

Introduction

The role of Senior Staff Data Scientist at Reddit presents an exciting opportunity for professionals in the field of data science, particularly those specialized in consumer relevance. Renowned as a vibrant platform, Reddit holds the distinction of being one of the largest community-driven sites on the internet, with over 126 million unique daily visitors sharing passions, interests, and authentic conversations.
Reddit is not only about community engagement; it operates on vast amounts of data and user-generated content, which is central to its mission of connecting people to relevant information that fulfills their needs. This role emphasizes the importance of understanding various content types, from crypto discussions and support groups to entertainment and informative AMAs (Ask Me Anything). As Reddit prepares for significant innovation, the need for a technical leader in relevance challenges has become increasingly critical.

Responsibilities

The Senior Staff Data Scientist will take a lead role in shaping how Reddit approaches relevance measurement and evaluation, ensuring that the platform continues to optimize user experiences through improved data analysis and metrics. Key responsibilities for this role include:

• Serving as the technical authority on relevance metrics and evaluation methodology, establishing standards for measuring feeds, search results, and recommendations in a community-centered environment.
• Developing metrics frameworks and offline evaluation approaches, including proxy metrics that predict long-term outcomes such as retention and user satisfaction.
• Designing and analyzing experiments for relevance features, addressing networked platform challenges such as spillover effects and ranking changes on content supply.
• Identifying measurement improvement opportunities to unlock previously unmeasurable product insights, particularly in content quality and personalization.
• Collaborating with ML engineers and product teams to demonstrate how model performance metrics translate into significant user impacts.
• Influencing product strategy through deep insights synthesized from experimental analyses.
• Mentoring fellow data scientists on relevance evaluation methodologies and statistical rigor.
• Publishing notable methodological advances within the wider relevance and recommendation systems community.

Required Qualifications

To be successful in this role, candidates should possess a minimum of:

• Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field, focusing on recommendation systems, ranking, or evaluation methodologies, and 8+ years of industry experience in these areas.
• Alternatively, a M.S. degree with 12+ years of industry experience is acceptable.
• Expertise in the design and evaluation of ranking and recommendation systems, with practical experience in causal inference and experimentation methodologies.
• Strong theoretical grounding in experimental design techniques, including power analysis.
• An expert command of SQL and proficiency in R and/or Python for statistical analysis.
• Excellent communication skills to effectively convey complex statistical and machine learning concepts to diverse audiences.
• A proven track record of mentoring data scientists and fostering organizational growth in relevance evaluation practices.

Preferred Qualifications

While not mandatory, the following qualifications are highly valued:

• Published research or contributions in recommendation systems or causal inference-related fields.
• Practical experience within social network platforms or those driven by user-generated content, addressing unique relevance and experimental challenges.

Compensation and Benefits

The base salary range for this ambitious role is set between $232,500 and $325,500 USD, reflecting the significant responsibilities assumed and the expertise required. In conjunction with the salary, Reddit provides a comprehensive benefits package tailored to support employees in both their professional and personal lives. Key benefits include:

• Comprehensive healthcare benefits, encompassing medical, dental, and vision coverage.
• A 401(k) plan featuring an employer match program.
• An array of global benefit programs tailored to employee needs, from workspace support to caregiving assistance.
• Extensive mental health and coaching benefits, along with family planning support.
• Generous vacation policies and paid volunteer time off to encourage a well-rounded work-life balance.
• Competitive parental leave benefits designed to support families.

Conclusion

As a Senior Staff Data Scientist at Reddit, you will play a vital role in steering the future of relevance and recommendations on one of the leading platforms for community engagement. By leveraging your extensive experience and capabilities in data science, you will help elevate the user experience and optimize how individuals connect with informative and meaningful content. The collaborative environment at Reddit is poised for innovation, supporting your growth while allowing you to significantly contribute to enhancing the quality of community-driven insights.

This job offer was originally published on jobicy.com