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Scala or Python Big Data Engineer/MLops @

3 weeks ago

Remote Wrocław, Czech Republic Comscore via CC Full time

The ideal candidate will have:

  • Strong skills in Python or Scala
  • Solid knowledge of statistical modeling and algorithms
  • Experience with large-scale data frameworks (Apache Spark preferred)
  • Proficiency with SQL and data manipulation
  • An analytical mindset, bridging statistics and engineering

If you don't have all the qualifications, but think there's a match, let's talk

Correct Context is looking for a Scala or Python Big Data Engineer/MLops for Comscore in Poland and around.

Comscore is a global leader in media analytics, revolutionizing insights into consumer behavior, media consumption, and digital engagement.

Comscore leads in measuring and analyzing audiences across diverse digital platforms. Thrive on using cutting-edge technology, play a vital role as a trusted partner delivering accurate data to global businesses, and collaborate with industry leaders like Facebook, Disney, and Amazon. Contribute to empowering businesses in the digital era across media, advertising, e-commerce, and technology sectors.

We offer:

  • Real big data projects (PB scale)  
  • International team (US, PL, IE, CL)  
  • Small, independent teams with high autonomy  
  • High influence on the working environment 
  • Flexible work time  
  • Fully remote or in-office work in Wroclaw, Poland  
  • 10,000 - 15,000 PLN net/month (B2B)  
  • Private healthcare (PL)  
  • Multikafeteria (PL)  
  • Free parking (PL)  

The recruitment process for the Scala or Python Big Data Engineer/MLops position has the following steps:

  1. Technical survey ~ 10min 
  2. Technical screening - 30 min 
  3. Technical interview - 1h-2h (depending on your experience and how fast we can go through some things) 
  4. Interview with manager - ~30 min 
,[Translate statistical prototypes into scalable, production-ready solutions, Optimize and validate algorithms handling millions of records, Develop APIs and data pipelines using Apache Spark, Iceberg, and AWS, Collaborate closely with analytics teams to ensure data integrity] Requirements: Scala, Python, Big Data Tools: GIT. Additionally: Private healthcare, Remote work, Flexible working hours, Flat structure, Free parking, Free coffee, Playroom, No dress code, Startup atmosphere, Modern office.