4 дня назад
Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Driving product data science for a new 0→1 B2B product initiative, with an accent on workflow analysis, experimentation, telemetry, and product strategy. Focus on designing metrics and A/B tests, analyzing complex datasets, and translating user behavior insights into feature prioritization and monetization decisions.
Location: San Francisco, CA; hybrid with a minimum of three in-office days per week
Company
is a profitable, bootstrapped AI productivity company combining hardware and software to capture, structure, and use intelligence from conversations.
What you will do
- Lead data science for a new 0→1 B2B product initiative, analyzing professional workflows, team engagement, and product performance.
- Identify and solve high-impact product questions that guide B2B feature development and growth.
- Partner with Product Management and Engineering to define hypotheses, design feature rollouts, and analyze product experiments.
- Build and maintain core product metrics, dashboards, and automated analytical views.
- Collaborate with cross-regional analytics stakeholders to align methodologies and ensure global data consistency.
- Translate behavioral insights and product telemetry into roadmap, adoption, usage, and monetization decisions.
Requirements
- 5–7+ years of experience in product data science, product analytics, or related roles in AI, technology, or product-led companies.
- Required experience with B2B SaaS, enterprise workflows, or zero-to-one product development.
- Advanced SQL skills, metric design framework expertise, and strong statistical fundamentals.
- Experience analyzing A/B and multivariate tests on large, complex datasets.
- Ability to work independently in ambiguous environments and influence product prioritization through data-informed insights.
- Exceptional communication skills for collaboration with Product, Engineering, executive leadership, and cross-region analytics teams.
Nice to have
- Experience analyzing user behavior in collaboration tools, productivity software, or multi-user B2B workspaces.
- Comfort with AI-assisted analytics tools or automation workflows.
- Experience in fast-paced technology environments or early-stage products with evolving data infrastructure.
Culture & Benefits
- Employee Stock Ownership Plan providing an ownership stake in the company.
- Medical, dental, and vision insurance for employees and dependents, plus a company-matched 401(k) plan.
- Unlimited PTO, 13 paid holidays, and 12 weeks of fully paid parental leave for all parents.
- Access to frontier AI tools, high-spec laptops, workstation setups, and devices.
- Company offsites, team events, and a culture focused on craftsmanship, ownership, collaboration, and velocity.
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