1 день назад
Data Science Manager (AI)
240 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Manager (AI) (Data Science and Analytics): Leading a data science and analytics team that shapes product and business strategy through experimentation, metrics, insights, and data-driven decision-making with an accent on AI-native analytics, product growth, and strategic influence. Focus on developing data scientists and analytics engineers, defining measurement frameworks, influencing roadmaps, and connecting complex analyses to business outcomes.
Location: New York, hybrid
Salary: $240,000–$300,000 annually plus equity
Company
is an AI-powered growth platform that helps organizations reach customers using data, signals, and AI research.
What you will do
- Lead and grow the Data Science and Analytics team, including hiring, onboarding, coaching, and developing data scientists and analytics engineers.
- Set technical standards for experimentation, analytics, statistics, data modeling, metric design, and insights.
- Prioritize high-impact work and allocate team capacity across Product, Marketing, Sales, Finance, and Partnerships.
- Partner with executives and senior stakeholders to shape product and business strategy through data and insights.
- Define business and product measurement frameworks, establish key metrics, and ensure effective instrumentation and monitoring.
- Build a deep understanding of users, buyers, and prospects in partnership with UXR and customer feedback teams.
Requirements
- 2+ years managing data scientists and/or analytics engineers and 6+ years overall in data science or analytics.
- Strong technical depth in experimentation, analytics, statistics, data modeling, and metric design.
- Expertise in product or growth data science, including acquisition, activation, engagement, and retention funnels in B2B or B2C products.
- Experience influencing product roadmaps and connecting data work to business outcomes.
- Strong stakeholder management, data storytelling, communication, hiring, coaching, and team development skills.
- Experience with Snowflake, GitHub, dbt, Hex, Sigma, and Dagster.
Nice to have
- Experience in product-led growth or B2B SaaS, especially usage-based pricing.
- Experience with embedded or hub-and-spoke data team models.
- Experience scaling data teams through rapid company growth.
- Experience working on AI products and enthusiasm for AI-native ways of working.
Culture & Benefits
- Work alongside a growing community of customers, integration partners, agencies, and Slack members.
- Access to free coaching from specialists in creativity, management, and related areas.
- Work in a culture that supports varied personal interests and creative pursuits.
- Equity participation is included in the compensation package.
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