Data Scientist: Growth & Experiments (Hybrid, Warsaw)

Asana; Województwo mazowieckie; Hybrid; PLN 324,000 - 367,000; Full time

Benefits offered by this job

Generous compensation system

Contract of Employment

Health insurance with dental andTravel

Meals reimbursement

Career growth budget

Home office setup budget

Gym/Fitness reimbursement

Fertility healthcare and family-form‑

Mental Health Support

Group life insurance

MacBooks with accessories

Job summary

Asana in Warsaw is seeking a Data Scientist to help inform product strategy, define success metrics, and drive outcomes with experiments, statistics, and ML. You will work with Product and Business teams to align data insights with company goals, build models, and keep data flowing in our pipelines.

The role requires 3+ years of experience, a quantitative degree, Python/SQL proficiency, and Spark/Redshift experience.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 3+ years applying data science to drive product development and decisions.
• Strong background in statistics and quantitative thinking.
• Proficiency in Python or Scala, and SQL.
• Experience with distribution data processing and ML modeling.

Responsibilities

• Design and analyze experiments to measure the impact of new product features.
• Investigate questions about collaboration patterns of successful teams.
• Add metrics and aggregations to the data warehouse for new questions.
• Build models to predict growth trajectories of customer segments.
• Collaborate with engineering, product, and business teams to drive data-informed decisions.

Skills

Statistics

Python

SQL

Machine Learning

Experimentation

Data Analysis

Education

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

Tools

Spark

Redshift

Job description

Asana in Warsaw is seeking a Data Scientist to help inform product strategy, define success metrics, and drive outcomes with experiments, statistics, and ML. You will work with Product and Business teams to align data insights with company goals, build models, and keep data flowing in our pipelines.

The role requires 3+ years of experience, a quantitative degree, Python/SQL proficiency, and Spark/Redshift experience.