Senior Product Data Scientist (Analyst)

Decisive Point Group; Warszawa; Hybrid; PLN 279,000 - 356,000; Full time

Benefits offered by this job

Health insurance

Lunch catering

Career growth budget

Home office setup

Gym reimbursement

Fertility support

Mental health support

MacBook

Job summary

Asana’s Data Science team drives strategy and success metrics, partnering with Product, Design, and Engineering to inform decisions and deliver measurable value. The role focuses on experiments, causal inference, and analytics to guide product roadmap in a data-driven way.

Based in Warsaw with a hybrid office schedule, the candidate will design analyses, build dashboards, and mentor the new office as it grows while collaborating across data science, product, and engineering teams.

Qualifications

• Bachelor degree in a quantitative field or equivalent experience.
• 7+ years applying data science to product development and decision-making.
• Strong background in statistics and math.
• Fluency in Python or R; SQL expertise.
• Experience with distributed processing systems (e.g. Spark, Redshift).
• Excellent written and verbal communication.

Responsibilities

• Design and analyze experiments to ship impactful product changes.
• Develop narratives that inform product strategy and roadmap decisions.
• Define and publish new metrics to data warehouse.
• Build dashboards highlighting impact and opportunities.
• Communicate effectively with technical and non-technical audiences.
• Mentor the Data Science presence as the office grows.

Skills

Experiment design

Causal inference

Statistical methods

Machine learning

Python

SQL

Data storytelling

Communication skills

Collaboration

Education

Bachelor's degree in quantitative field

Tools

Python

R

SQL

Spark

Redshift

Job description

Asana's Data Science team helps us fulfil 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

• 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.
• Defining and adding new metrics to track success of our enterprise products and aggregate and publish them to our data warehouse to help answer all types of questions proactively.
• Building dashboards to highlight impact potential and other areas of opportunities.
• Communicating effectively and presenting to both technical and non-technical audiences.
• Establishing the Data Science presence in a new office and providing 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

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.

We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. 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.

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