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Home›Jobs›Asana›Senior Product Data Scientist (Analyst)
Asana

About Asana

The productivity platform that connects your team

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Yerba Buena, San Francisco, CA💰 $414.4m⭐ 4.2
B2BInternal toolsProductivitySaaS

Key Highlights

  • Public company since 2020 with strong market presence
  • Over 100,000 customers including Uber & Air France
  • $414.4 million raised in Series E funding
  • Global presence with offices across four continents

Asana is a productivity software company headquartered in Yerba Buena, San Francisco, CA, that provides a web and mobile application designed to help teams organize, track, and manage their work. With over 100,000 customers including Uber and Air France, Asana went public in 2020 and has raised $414...

🎁 Benefits

Asana offers comprehensive health benefits, including mental health programs and coaching, an in-house culinary program, and supportive parental leave...

🌟 Culture

Asana fosters a culture centered around collaboration and efficiency, empowering teams to transcend traditional email coordination. With a strong emph...

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Asana

Senior Product Data Scientist (Analyst)

Asana • Warsaw

Posted 2w ago🏢 HybridSeniorData scientist📍 Warsaw
Apply Now →

Skills & Technologies

SQLMachine learningStatistical modelingData storytellingCausal inferenceExperimentation

Overview

Asana is hiring a Senior Product Data Scientist to inform strategy and define success metrics through data analysis. You'll leverage machine learning and statistical techniques to drive business outcomes. This role requires strong analytical skills and experience in data storytelling.

Job Description

Who you are

You have 5+ years of experience in data science, with a strong background in statistical modeling and machine learning techniques. You are skilled in SQL and have a knack for data storytelling, enabling you to communicate complex insights effectively to stakeholders. You thrive in collaborative environments, working closely with product, business, design, and engineering teams to drive impactful decisions. Your experience includes designing and analyzing experiments, allowing you to contribute to product changes that enhance user experience. You are proactive in identifying new ways to deliver value to users and are comfortable with causal inference methodologies. You understand the importance of defining and measuring success metrics to inform business strategy.

Desirable

Experience with A/B testing and familiarity with data visualization tools would be advantageous. A background in mobile product analytics is a plus, as you will be working specifically with the Mobile team at Asana.

What you'll do

In this role, you will design and analyze experiments to ship impactful product changes that help customers quickly find what they need on Asana. You will leverage your expertise in statistical modeling and machine learning to deepen the understanding of Asana's customers and drive business outcomes. Collaborating with cross-functional teams, you will instill a data-influenced approach in building product strategies. Your work will involve defining success metrics and iterating on strategies to deliver value to users. You will also engage in data storytelling, presenting your findings to various stakeholders to influence decision-making processes. Your contributions will be instrumental in shaping Asana's product direction and enhancing user satisfaction.

What we offer

Asana fosters a culture of collaboration and innovation, providing a supportive environment where you can thrive. You will have the opportunity to work in a hybrid model, with standard in-office days and flexibility to work from home. Asana values diversity and inclusion, encouraging individuals from all backgrounds to apply. You will be part of a global team that is dedicated to building technology that drives positive change in the world. Competitive compensation and benefits are part of the package, reflecting Asana's commitment to its employees' well-being and professional growth.

Interested in this role?

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