Senior Quantitative Analyst
1 month ago
At Asana, we're looking for a skilled Data Scientist to join our Warsaw office. This role is based in our Warsaw office with an office-centric hybrid schedule.
Company OverviewWe help teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. We've been named a Top 10 Best Workplace for 5 years in a row, and one of Glassdoor's and Inc.'s Best Places to Work.
Salary and BenefitsThe estimated base salary range for this role is between 29,000 PLN - 36,833 PLN gross per month (subject to all taxes and necessary deductions). Your compensation package may include additional components such as equity and sales incentive pay. You'll also enjoy generous health insurance, meals reimbursement, 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, and more.
Job DescriptionThis role will involve:
- Designing and analyzing experiments to ship impactful product changes that help customers quickly find what they need on Asana, specifically for our Reporting and Portfolios team.
- Proactively taking on analyses and developing 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.
You'll be communicating effectively and presenting to both technical and non-technical audiences. If you have experience establishing the Data Science presence in a new office and providing mentorship, that's a plus
Required Skills and QualificationsTo be successful in this role, you'll need:
- Data science skills, with expertise in statistical methods and experimental design and analysis.
- 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).
- Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning.
- Excellent written and verbal communication skills.
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.
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