Data Scientist

Data Scientist

The Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. 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

 

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

• Design and analyze experiments to measure the impact of new product features.

• Investigate high-level questions like “What are the collaborative patterns of the most successful teams using Asana?”

• Add new metrics and aggregations to our data warehouse to make new classes of questions answerable.

• Build models to predict the growth trajectory of different customer segments.

• Partner with cross-functional stakeholders across engineering, product management, and business teams to drive data-informed decision-making.

About you

• Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent practical experience.

• 3+ years of experience in applying data science techniques to drive technical product development and decision-making.

• Strong technical background in statistics, mathematics, information science, or another heavily quantitative field.

• Fluency in at least one modern language useful for data processing (such as Python or Scala).

• Proficiency with relational data modeling and SQL.

• Expertise in statistical methods and experimental design and analysis.

• Experience with measurement techniques for search ranking, relevance, or quality assessments.

• Experience with distributed data processing systems (such as Spark or Redshift).

• Background in advanced statistical modeling (e.g., GLM, mixed effects) and/or machine learning techniques

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

For this role, the estimated base salary range is between 29,000 PLN - 32,900 PLN (gross monthly). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Generous, transparent and fair compensation system
• Contract of Employment (and the option of  50% tax deductible costs for author’s rights usage in respect of  applicable roles ) 
• Health insurance with dental and travel coverage (Lux Med) 
• Meals reimbursement on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental Health Support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

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