New Graduate: Data Science - 2022 start

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.

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The Data Science team works closely with our product, customer success, and sales teams; we work to make sure teams are asking the right questions… and then find those answers. Our data informs us of the impact we are having on the world, and our team is crucial to architecting and building our data infrastructure. We also design and use data analysis tools that increase our data’s scalability, accuracy, and accessibility. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things.

As a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Product and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowing in our pipelines.

What you'll achieve

  • Designing and analyzing experiments to measure the impact of new product features
  • Investigating high-level questions like “What are the collaborative patterns of the most successful teams using Asana?”
  • 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

About you

  • Master's or PhD in a quantitative and/or technical field
  • Your anticipated graduation date is between December 2021 and July 2022
  • Strong technical background in computer science, statistics, math, information science, or another quantitative field
  • Fluency in at least one modern language useful for data processing (e.g. Python, Scala)
  • Proficiency with relational data modeling and SQL
  • Expertise in statistical methods and experimental design and analysis
  • Experience with distributed data processing systems (e.g. Spark, Redshift)
  • Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning

 

About us

Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world, from small businesses to large enterprises, rely on Asana to manage everything from company objectives to digital transformation to product launches and marketing campaigns. For the past 5 years, we've been named a top workplace, including top 10 Great Place to Work Best Small & Medium Workplaces, #1 Fortune Best Workplace in the Bay Area for four years in a row, #8 Fortune Best Workplaces for Women, #14 Glassdoor Best Place to Work, and one of Ireland's Best Workplaces. After spending more than a year physically distanced, we are safely and mindfully returning our global teams to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With offices all over the world, we are always looking for curious, collaborative, and mission-driven people to help us enable the world’s teams to work together effortlessly.

 

We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, and veteran status.

Tags: Computer Science Data analysis Machine Learning ML models PhD Pipelines Python Redshift Scala Spark SQL Statistical modeling Statistics

Perks/benefits: Career development Startup environment

Region: North America
Country: United States
Job stats:  17  8  0

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