Data Scientist, Product (Develop Area)

San Francisco

Applications have closed

Asana

Work anytime, anywhere with Asana. Keep remote and distributed teams, and your entire organization, focused on their goals, projects, and tasks with Asana.

View company page

With Asana’s Developer Platform, external developers are given the power and flexibility to extend Asana's functionality for their own use cases, or in creative ways that Asana doesn't yet provide. In turn, this rich ecosystem of apps, integrations, and scripts enables Asana to fully connect with where work actually happens – no matter how big or small the team, and no matter which tools or workflows they use.

We are looking for a Product Data Scientist (San Francisco) who could make it effortless for external developers to customize Asana. As a Product Data Scientist, you will partner closely with Product, Engineering, Design, and the rest of the Data team to help set the strategy and proactively inform the direction with data so that Asana can be more efficient in delivering great things to the world. You will develop various skills as a full-stack Data Scientist working on projects end-to-end.

Typical responsibilities:

  • Designing and analyzing experiments to measure the impact of new product features, and inform our product roadmap
  • Investigating strategic questions like “What are the collaborative patterns of the most successful teams using Asana?” utilizing vast amounts of data
  • Adding new metrics and aggregations to our data warehouse to make new classes of questions answerable
  • Building models to predict the growth trajectory of different customer segments, improve in-product experiences or inform business decisions

About you

  • Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience
  • 4+ years of experience in applying data science techniques to drive technical product development and decision-making
  • Strong technical background in statistics, math, computer science, information science, or another quantitative field
  • Fluency in at least one data processing and programming language (e.g. Python, Scala)
  • Proficiency with relational data modeling and SQL
  • Expertise in statistical methods and experimental design and analysis
  • Familiarity with distributed data processing systems (e.g. Spark, Redshift)
  • Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning
  • Experience collaborating with teammates in other locations 

 

 

About us

At Asana, you’ll do meaningful, purpose-driven work. We’re not just building a product that helps people be more productive—we’re helping teams and organizations reach their goals together. For the past six years, we've been recognized as an award-winning workplace by Fortune and Great Place to Work, Fast Company, Glassdoor, and Inc. Magazine. Our inclusive culture is intentionally built to enable our teams to be creative and make an impact. With offices all over the world, we’re excited to get back to in-person collaboration along with a hybrid schedule for balance and flexibility in life and work. We’re looking for passionate individuals to join us on our journey. Come do great things with us.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Data warehouse Engineering Machine Learning Mathematics Python Redshift Scala Spark SQL Statistical modeling Statistics

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  9  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.