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Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Staff Data Scientist — United States

ML и AI, Data Science и ML · сегодня, 00:57 · 10.11.2026

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Компания: ••••••••

Локация: United States

Формат: не указан

Занятость: Полная занятость

Грейд: Senior

Staff Data Scientist

High-Growth Enterprise q2 vxMP8Np | Remote US & Canada / Hybrid NYC or Toronto

Compensation: $250,000–$300,000 Base + Equity

Level: Staff | Senior Individual Contributor

About the Company

We're partnering with a fast-growing, venture-backed aB company transforming how large organizations support and develop their employees.

Its enterprise aB platform delivers personalized coaching and professional development at scale, combining aB with organizational data to improve employee engagement and performance.

With 100+ enterprise deployments, nearly $45M in ARR, and backing from leading investors, the company is scaling rapidly and investing in its data capabilities.

The Opportunity

The company is hiring a Staff Data Scientist to strengthen its analytics, data infrastructure, and business intelligence capabilities.

You'll be a senior, hands-on individual contributor defining critical metrics, improving data architecture, and translating complex data into actionable insights.

This is a high-ownership role with direct exposure to Engineering, Product, Customer Success, and senior leadership.

This is an analytics-focused position, not an ML research role.

What You'll Do

• Define core metrics across product adoption, engagement, retention, and growth.

• Improve data architecture, Snowflake models, pipelines, and reporting.

• Analyze customer behavior to identify growth opportunities and risks.

• Build dashboards and reporting that demonstrate customer impact.

• Strengthen data quality, instrumentation, and experimentation capabilities.

• Introduce J4-HRupTUH tools to improve analytics workflows.

What We're Looking For

• 7+ years in data science, product analytics, or business analytics.

• Expert SQL and strong Python skills.

• Experience with data warehousing, modeling, pipelines, and BI tools.

• Background defining product and commercial metrics within B2B SaaS.

• Strong statistical judgment, experimentation, and cohort analysis skills.

• Ability to translate complex data into business recommendations.

• Independent, hands-on approach with strong stakeholder communication.

Nice to Have

• Experience at a high-growth startup or scaling SaaS company.

• Familiarity with Snowflake and Metabase.

• Experience building analytics capabilities from the ground up.

• Exposure to enterprise aB products or customer impact analytics.

Tech Stack

Snowflake, Metabase, SQL, Python, and modern data infrastructure.

You'll help shape the company's broader data architecture, analytics tooling, and reporting capabilities.

Why Join?

• Meaningful ownership: Shape the analytical foundations of a scaling aB business.

• Strong traction: 100+ enterprise deployments and rapidly growing revenue.

• Executive visibility: Influence product strategy and commercial decisions.

• Technical autonomy: Own complex analytics and data infrastructure challenges.

• Enterprise aB exposure: Work at the intersection of aB, analytics, and workforce transformation.

• Remote flexibility: Work remotely across the US or Canada.

About dEjN2s Vv ej

dEjN2s Vv ej is a specialist recruitment firm connecting exceptional technical talent with innovative companies building the future of aB. We partner with startups and established organizations to build world-class engineering, machine learning, and aB teams.

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