Data Scientist for movies and TV series

První česká soukromá televize Nova zahájila své vysílání přenosem z Národního muzea v Praze dne 4. 2. 1994. Od té doby jsme prošli celou řadou změn. Dnes jsme součástí investiční skupiny PPF a jednou z nejmodernějších mediálních společností na českém trhu. 

Za tím vším stojí společenství lidí, kteří pracují v nejrůznějších profesích, ať už specificky televizních nebo těch ostatních, podporujících. Milují svoji práci, snaží se v ní být každý den nejlepší a přicházet stále s novými nápady. Nahrávají si vzájemně, podporují se a makají na sobě.

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