Senior Product Data Scientist
Asana
Job Overview
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Job Description
Senior Product Data Scientist at Asana
Asana's Data Science team plays a crucial role in achieving our mission by informing strategy, defining success metrics, and discovering new ways to deliver user value. Data scientists are key to deepening our understanding of customers and driving business outcomes through 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 product or business strategy, defining and measuring success metrics, and learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and 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
- Design and analyze experiments and causal analysis to ship impactful product changes that help customers quickly find what they need on Asana, specifically for our Mobile team.
- Proactively take on analyses and develop compelling narratives that inform product strategy and influence business & roadmap decisions.
- Define and add new metrics to track the success of our enterprise products and aggregate and publish them to our data warehouse to help answer all types of questions proactively.
- Build dashboards to highlight impact potential and other areas of opportunities.
- Communicate effectively and present to both technical and non-technical audiences.
- Establish the Data Science presence in a new office and provide mentorship as the office grows.
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.
- 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.
- Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning.
- Excellent written and verbal communication skills.
- Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations.
- Demonstrated 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
- 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).
- Lunch catering 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.
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.
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.
Key skills/competency
- Data Science
- Product Development
- Experiment Design
- Causal Inference
- Machine Learning
- Statistical Modeling
- SQL
- Python
- Data Storytelling
- Mentorship
How to Get Hired at Asana
- Tailor your resume: Highlight 7+ years of data science experience, statistical modeling, and Python/SQL proficiency.
- Showcase impact: Quantify achievements in product development and decision-making using data.
- Prepare for technical interviews: Brush up on statistics, experimental design, and machine learning concepts.
- Demonstrate collaboration skills: Be ready to discuss cross-functional teamwork with Product, Design, and Engineering.
- Emphasize AI curiosity: Discuss your interest in AI tools and their application.
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