Джерело: CrawlJobs
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Product Data Scientist (Data Labs)

Гібридна робота

Дата публікації: 30.08.2026

We’re looking for a sharp and driven Data Analyst to join our fast-paced Data Labs team. As part of a high-performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

Responsibilities

Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery; Apply your expertise in quantitative analysis and data mining to turn data into insights; Conduct research and develop tools which will help answer client's business questions by using Similarweb's raw data sets and algorithms; Partner with Engineering teams to establish an infrastructure to scale solutions; Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

Requirements

At least 2 years experience with SQL/pySpark for data analysis; Experience in Python scripting; Excellent verbal and communication skills in English; Team player, autodidact, fast learner with excellent analytical, research and business skills; Demonstrates initiative and a proactive mindset; Experienced in independently managing complex projects from start to finish; Have a Bachelor's in Statistics, Computer Science, Engineering, or related field

Nice to have

AWS Infrastructure experience; Working with clients; Proficiency in Online Marketing/Online Services; At least 2 years work experience in Online/Tech Company; Master's degree

Benefits

Competitive compensation packages; Regular team outings and happy hours; Career Week, personalized coaching, and ongoing learning solutions; Inclusive workplace culture
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