Remote Data Scientist Job in United States Reddit, Inc.

Who you are

• Relevant experiences in quantitative or data science roles, preferably for a consumer-facing service/app, ads monetization, safety etc.
• Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 3+ years of industry data science experience required; If PhD degree, a minimum of 1+ years of industry data science experience required)
• Familiar with statistical analysis, programming languages (e.g., R / Python) and querying relational databases (e.g., SQL)
• Deep understanding of online experimentation and causal inference
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike
• Able to tackle ambiguous and undefined problems

Desirables

• Technical background
• Strong business acumen
• Excellent stakeholder management skills
• Ability to discuss complex topics with technical and non-technical audiences
• Problem-solving ability

What the job involves

• Drive the success of Reddit’s core products by helping define product strategy through identifying business opportunities and user pain points.
• Drive measurement and metrics design for a product area, along with experimentation and causal analyses to support product/engineering decisions and investments.
• Serve as a thought-partner for product managers, engineering managers and leadership, communicating and shaping roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights.
• Be actively involved in all phases of product development, including ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation, decision-making, post-launch monitoring/measurements etc.
• Leverage data to understand Reddit, its users, and potential product investments through experiment design and analysis, data deep dives, causal inference, and improving data accessibility for stakeholders.

Application process

• General Data Scientists hiring process
• Get matched to product area