Time since we first saw it
Day 235
Up longer than most. Similar jobs usually come down between day 8 and day 59.
From 11,368 similar postings that came down. Coming down is not always a hire.
Design and analyze experiments and causal analyses for product changes
Develop analyses and narratives that shape product strategy and roadmap
Define new success metrics and publish them to the data warehouse
Build dashboards to highlight impact and opportunities
Present findings to technical and non-technical audiences
Design and analyze experiments and causal analysis to ship impactful product changes
develop compelling narratives that inform product strategy and influence business & roadmap decisions
Defining and adding new metrics to track success of our enterprise products and aggregate and publish them to our data warehouse
Building dashboards to highlight impact potential and other areas of opportunities.
Communicating effectively and presenting to both technical and non-technical audiences.
Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience
Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations
7+ years of experience in applying data science techniques to drive technical product development and decision-making
Fluency in at least one data processing and programming language (e.g. Python, R), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift)
Expertise in statistical methods and experimental design and analysis
About you - Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience - 7+ years of experience in applying data science techniques to drive technical product development and decision-making
We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
In the employer’s words · Read in context
Open 7 monthsWe first saw this posting 235 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 235
Up longer than most. Similar jobs usually come down between day 8 and day 59.
From 11,368 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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, R), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift) - Expertise in statistical methods and experimental design and analysis
Complete your application on www.asana.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Asana's 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.
The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value.
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.
Our employees in Poland are employed under a contract of employment.
What you’ll achieve
About you
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 24,960 PLN - 31,937 PLN gross per month (subject to all taxes and necessary deductions) . 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 and 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.
#LI-Hybrid #LI-AZ
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.
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Warsaw
The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value. 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. Our employees in Poland are employed under a contract of employment.
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