Full Stack Data Scientist

Posted Yesterday
Palo Alto, CA
127K-297K Annually
Mid level
Social Media • Software
We serve the public conversation. We believe real change starts with conversation.
The Role
As a Full Stack Data Scientist, you will develop metrics, build datasets and dashboards, analyze user behavior data, support product A/B tests, and collaborate with engineers and product managers to enhance product development.
Summary Generated by Built In

Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we’re on a mission to become the trusted global digital public square, committed to protecting freedom of speech and building the future unlimited interactivity. Our goal is to empower every user to freely create and share ideas, fostering open public discourse without barriers. Join us in shaping this thrilling journey where your contribution will be invaluable to our success!

Role: Full Stack Data Scientist (All Levels)
Location: Palo Alto
Salary Range: $127,000 to $297,000 USD + Equity

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Your Role:
As a data scientist in the core product engineering team, you will have the unique opportunity to influence and elevate our product development process with your insights and innovations.

Develop key metrics for a profound understanding of our product features, assessing their impact on platform engagement and user growth to guide product strategy.

Build and maintain essential datasets, dashboards, and reporting services, serving as the south of truth for our performance indicators.

Analyze data and build analytical tools to gain insights into user behavior, thereby enhancing user experiences, uncovering growth areas, and devising new features.

Provide data and analysis support for product A/B tests, playing a pivotal role in data-driven decision-making for product changes.

Collaborate with engineers and product managers, offering data and analytical support to enhance product development.


Who You Are:
We're looking for exceptional scientists/engineers who are passionate about our mission and have a strong desire to make a meaningful impact. The ideal candidate will have:

  • Master, Post-graduate or PhD in statistics, mathematics, computer science, machine learning, information retrieval, engineering, operations research, or other quantitative discipline; or equivalent work experience.

  • 3+ years of industry experience working with large scale data pipelines, end-to-end data science solutions, and customer behavior analytics (we are hiring all levels DS II or above).

  • Expertise solving complex and highly impactful business problems through quantitative approaches (statistical / machine learning models) with at least one programming language (Python, Scala, etc), and data manipulation tools including SQL and Spark.

  • Ability to create/improve analytics tools or reproducible analysis libraries.


At X, our small but fast-paced team values innovation, creativity, and a strong commitment to our mission. As a full stack data scientist, you'll have the opportunity to make a significant impact on the future of X and our aspiration to build the Everything App.
If you're an exceptional scientist/engineer who shares our passion for freedom of speech, we'd love to hear from you.

Top Skills

Python
Scala
The Company
HQ: San Francisco, CA
1,500 Employees
Hybrid Workplace
Year Founded: 2006

What We Do

We serve the public conversation. We believe real change starts with conversation. That’s why it matters to us that people have a free and safe space to talk. We put people first. Be you, really. That’s how we build trust. Together we’re creating a culture that’s supportive, respectful, and a pretty cool vibe. Sure, we’re not perfect, we’re people. But we’re open and honest about who we are and what we do.

Why Work With Us

Life’s not about a job, it’s about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we’ll do what’s right (not what’s easy) to serve the public conversation.

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