Data Scientist

Gomyneed Private Limited; Warszawa; Hybride; PLN 180 000 - 280 000; Plein temps

Résumé du poste

Asana is hiring a Data Scientist in Warsaw, Poland. The role focuses on designing experiments, building predictive models, and providing data-driven insights to guide product decisions.

Ideal candidates hold a quantitative degree, have 3+ years of data science experience, and are proficient in Python/Scala and SQL. This is a full-time, on-site opportunity based in Warsaw.

Qualifications

• Bachelor's degree or equivalent practical experience in a quantitative field.
• 3+ years applying data science to product development and decision-making.
• Strong background in statistics, mathematics, information science, or related field.
• Fluency in Python or Scala and SQL proficiency.

Responsabilités

• 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 broader insights.
• Build models to predict growth trajectories of customer segments.
• Partner with engineering, product management, and business teams to drive data-informed decisions.

Connaissances

Python

SQL

Statistics

Formation

Bachelor's degree in Computer Science, Math, Statistics or related field

Description du poste

Asana is hiring a Data Scientist (Warsaw, Poland). This is a Data role listed on the official Asana careers site.

Key Responsibilities:

• Design and analyze experiments to measure the impact of new product features.
• Investigate high-level questions like “What are the collaborative patterns of the most successful teams using Asana?”
• Add new metrics and aggregations to the data warehouse to make new classes of questions answerable.
• Build models to predict the growth trajectory of different customer segments.
• Partner with engineering, product management, and business teams to drive data-informed decision-making.

Requirements:

• Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent practical experience.
• 3+ years of experience applying data science techniques to drive product development and decision-making.
• Strong technical background in statistics, mathematics, information science, or another quantitative field.
• Fluency in at least one modern data processing language (such as Python or Scala).
• Proficiency with relational data modeling and SQL.

Salary: Competitive (not disclosed)

Job Type: Full-time