Data Scientist

29k - 32.9k PLN29 000 - 32 900 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

MidHybryda·WarszawaFull-time·Umowa o pracę

#474808·Dodano wczoraj·5

Źródło: justjoin.it

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Tech Stack / Keywords

GLMRedshift Spark Scala Python SQL

Podsumowanie oferty

As a Data Scientist at Asana, you’ll work with Product and Business teams to inform product direction and decision-making with data. The role covers designing experiments, defining metrics, and building models using data science and machine learning techniques.

Wymagania

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 technical product development and decision-making.
Strong technical background in statistics, mathematics, information science, or another heavily quantitative field.
Fluency in at least one modern language useful for data processing, such as Python or Scala.
Proficiency with relational data modeling and SQL.
Expertise in statistical methods and experimental design and analysis.
Experience with measurement techniques for search ranking, relevance, or quality assessments.
Experience with distributed data processing systems such as Spark or Redshift.
Background in advanced statistical modeling, such as GLM or mixed effects, and/or machine learning techniques.
Curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Obowiązki

Design and analyze experiments to measure the impact of new product features.
Investigate high-level questions about collaborative patterns among 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 stakeholders across engineering, product management, and business teams to drive data-informed decision-making.

Benefity

Health insurance with dental and travel coverage (Lux Med).
Meals reimbursement on days worked from the office.
Career growth budget.
Home office setup budget.
Gym/fitness reimbursement.
Fertility healthcare and family-forming support with Carrot.
Mental health support through Modern Health.
Group life insurance.
MacBooks with necessary accessories.
The compensation package may include additional components such as equity.

Ubezpieczenie

Karta sportowa

Dofinansowanie szkoleń

Inne informacje

The standard in-office days are Monday, Tuesday, and Thursday. Most employees may work from home on Wednesdays; working from home on Fridays depends on the type of work.

Asana

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