Senior Product Data Scientist (Analyst)

25k - 31.9k PLN24 960 - 31 937 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorHybryda·WarszawaFull-time·Umowa o pracę

#477312·Dodano 5 dni temu·3

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data scienceProduct developmentPythonData modelingSQL Spark RedshiftStatistical methodsMachine LearningCommunication skillsAI

Podsumowanie oferty

The role is part of Asana’s Data Science team and focuses on the Mobile team, using experiments and causal analysis to inform product changes that help customers find what they need. You will support product strategy and user value through statistical modeling and machine learning.

Wymagania

Bachelor’s degree in math, statistics, economics, computer science, engineering, a related quantitative field, or equivalent experience.
7+ years of experience 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, and 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.
Curiosity about AI tools and emerging technologies, and willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Obowiązki

Design and analyze experiments and causal analyses to ship product changes that help customers quickly find what they need on Asana, specifically for the Mobile team.
Conduct analyses and develop narratives to inform product strategy and business and roadmap decisions.
Define and add metrics to track enterprise product success, and aggregate and publish them to the data warehouse.
Build dashboards to highlight potential impact and areas of opportunity.
Communicate and present to technical and non-technical audiences.
Establish the Data Science presence in a new office and provide mentorship as the office grows.

Benefity

Health insurance with dental and travel coverage.
Lunch catering on days worked from the office.
Career growth budget.
Home office setup budget.
Gym/fitness reimbursement.
Fertility healthcare and family-forming support.
Mental health support.
Group life insurance.
MacBooks and necessary accessories.
Private healthcare.
Training budget and in-house trainings.
Sport subscription.
Canteen, free lunch, free breakfast, free coffee, free beverages, and free snacks.
Shower and bike parking.

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Dofinansowanie szkoleń

Szkolenia wewnętrzne

Firmowa stołówka

Napoje w biurze

Darmowe przekąski

Prysznic

Parking dla rowerów

Asana

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