Data Scientist for movies and TV series

The first Czech private television station Nova started its broadcasting from Prague on 4 February 1994. Today we are one of the most modern media companies on the Czech market and being part of the CME Group (belongs to the PPF investment group) makes us one of the top media houses in the Central & Eastern European region.

Behind our success, there is a community of people in a variety of professions, a true professionals who love their jobs and who strive to be the best every day.

Combination of the entertainment world and data science can be real fun: where else can you control what happens in your favourite show?

We are the biggest commercial television in Central Europe, building also own video streaming platform serving 500 000+ subscribers – and this is definitely a place where you can make a difference and push us more towards state-of-the-art AI world.

• Projects are truly innovative (sometimes world's first)

• Projects are well defined, with clear objectives and success measures, driven by a Product Owner

• Projects are used immediately by the internal customers

• We constantly fine-tune and iterate with the business

• Open communication, flat structure

• You can participate in every stage of the project: we do really care about your opinion

• We really care about keeping everyone happy. It's not about free fruit in the office, it's about a deep real satisfaction from a job well done.

• Building end-to-end data science pipelines from data cleaning, through exploratory analysis, predictive modelling, testing, deployment and MLOps

• Cracking real-life data science problems and finding solutions

• Productionalization of machine learning models (if you’re more on the ML engineering side)

• Hands-on building models and/or pipelines on cloud-based Keboola and Azure, using mostly Python

• Data processing

• Integration of new data sources to Keboola (more on the engineering side)

• Participation in Scrum-like lean development orchestrated by a Product Owner

• Using your self-drive and motivation to come up with new features and solutions, driving the ML product forward

• Mentoring more junior teammates, learning from more senior teammates

• Actively learning and searching new info

• It’s pretty simple: money, non-asshole team, non-bullshit boss, stability, meaningful AI projects and decent ML tech-stack (it’s going to be one of your roles to push it to a cutting edge tech-stack). And some nice benefits that include also Voyo subscription for free.

• You can have a hybrid work mode: a part of the week from home (e.g., deep work, coding), a part in the office (e.g., team meetings, Scrum events, brainstorming, pair coding, code revision).

• If you live far from Prague, we can arrange a special mode fore you – 1 day in the office per week, as long as you’re able to stay productive, creative and fully in touch with your team using online tools. 

What is essential

• Very good coding and engineering skills (especially if you’re on the ML engineering side)

• Skills around data science pipeline appropriate to your self-assessed seniority level (especially if you’re on the data science side)

• Strong analytical skills, hacking mindset and creativity

• University degree and/or relevant work experience

• Very good skills in a major programming language relevant to the field (Python, R, Julia, Java, Scala, etc.)

• Familiarity with SQL

• English in full professional proficiency (you will communicate with non-Czech speakers very often)

What is optional

• Master’s degree in computer science is a plus

• Proven and demonstrable track record is a big plus (e.g. personal GitHub, hackathons, redacted/anonymised demonstration of previous projects in real business, etc.)

• Experience and hands-on involvement with deployed ML pipelines in business environment is a big plus

• Hands-on experience with cloud platforms for big data and machine learning is a big plus

• Czech in full professional proficiency is a bonus if you want to be on the senior level and be in the contact with business stakeholders

• Being a Bash-magician or a Perl-oneliner-lover is a plus