Data Scientist, Safeguards

DXVECTOR As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by building and scaling a data-driven culture from the ground up.

In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.

You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation.

Key Responsibilities

• Deep dive into user behavior data to provide insights on safety concerns

• Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting

• Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations

• Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics

• Build a data-driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company

Minimum Qualifications

• Expertise in Python, SQL, and data visualization tools.

• A bias for action and urgency, not letting perfect be the enemy of the effective.

• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

• A deep curiosity and energy for pulling the thread on hard questions.

• Experience in turning open questions and data into concise and insightful analysis.

• Highly effective written communication and presentation skills.

• A passion for the company's mission of building helpful, honest, and harmless AI.

Preferred Qualifications

• 6+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.

• 3+ years of experience deeply embedding in Product teams.

• Experience working on safety, anti-abuse, integrity-shaped problems.

Logistics

• Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Benefits

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• A lovely office space in which to collaborate with colleagues