Bluesky's vision is to make social more like the web itself. We're building a social media app, but beyond that, we've created a protocol that supports a broad ecosystem of applications and clients. Imagine a network of applications — from microblogging to photos to video to long-form writing — all interconnected and accessible with a shared identity. As a Business Intelligence Data Scientist at Bluesky, you’ll work closely with leadership to maintain our business intelligence and produce insights into product behavior. You’ll be a great fit for this role if you have experience with analytics, statistics, and big data, and love gleaning insights from data. Responsibilities:

• Develop and maintain the internal business intelligence dashboard
• Develop statistical models to help us understand our users and their needs.
• Support product team by analyzing features and their impacts on user behavior

You might be a good fit if you:

• Have 5+ years experience in data science, with a focus on social media applications
• Strong skills in experimental design and analysis, both quantitative and qualitative
• Have experience dealing with high volume data
• Have strong SQL skills and experience with Postgres or BigQuery
• Have strong programming skills in Python
• Experience working with PyTorch is a plus
• Experience working with Retool is a plus
• Experience working with Dataform or DBT is a plus
• Have knowledge of data privacy and security best practices
• Like working on small, fast-moving teams.
• Have read the AT Protocol docs and align with our vision for open social

We’re a fully remote team, but an overlap of working hours with PST is required, and for this role, proximity and willingness to travel to Seattle is a plus. Please note, there may be an on-site component to these interviews. We offer health, dental, and vision insurance. If you want to work with an excellent team and help define the future of social, we encourage you to apply. Additional Notes:

• The anticipated base salary range for this position is $150,000-$175,000, excluding equity. Equity will be considered in the total compensation package. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.