Bluesky Social Logo

Bluesky Social

Senior Business Intelligence Data Scientist

Reposted 23 Days Ago
Remote
Hiring Remotely in USA
150K-175K Annually
Senior level
Remote
Hiring Remotely in USA
150K-175K Annually
Senior level
As a Business Intelligence Data Scientist, you will develop dashboards, build statistical models, and analyze product features to enhance user insights.
The summary above was generated by AI
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 Senior 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 $167,960 - 227,240, 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.

Similar Jobs

42 Minutes Ago
Easy Apply
Remote or Hybrid
Ohio, USA
Easy Apply
290K-415K Annually
Expert/Leader
290K-415K Annually
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
Manage and grow strategic enterprise accounts by building C-level relationships, creating long-term account strategies, collaborating cross-functionally, and acting as a trusted advisor to align Zscaler security solutions with customer business goals.
42 Minutes Ago
Remote
United States
145K-170K Annually
Senior level
145K-170K Annually
Senior level
Fintech • Financial Services
Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.
Top Skills: DatafoldDbtFivetranPythonRedshiftSnowflakeSQLTableau
42 Minutes Ago
Remote
United States
160K-185K Annually
Senior level
160K-185K Annually
Senior level
Fintech • Financial Services
Lead technical design and architecture for analytics engineering: build and govern the semantic/metrics layer, optimize dbt and Snowflake for performance and AI use cases, mentor engineers, partner with Data Science and Engineering, drive data quality, CI/CD, observability, and deployment of third-party data and emerging tooling to support analytics, ML, and agent-based products.
Top Skills: Agent FrameworksDbtFivetranKafkaPythonRagSnowflakeSnowflake CortexSnowflake IntelligenceSQLStreamkap

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account