Junior Data Scientist

all eyes on screens (AEOS) is a fast-growing martech start-up, shaping the future of addressable TV advertising. We're developing cutting-edge ecosystems powered by our proprietary AI and Big Data algorithms — transforming how brands deliver synchronized TV and digital campaigns, optimize programming, and measure effectiveness. Our clients are some of the most sophisticated and data-driven advertisers, such as L’Oréal, DAZN, eBay and Audi.

Our Data Science team is designing and building algorithms and models that derive insights from Big Data by leveraging statistics, machine learning, and deep learning. Our team helps clients by uncovering hidden correlations, understanding audience preferences, developing forecasts, understanding video on TV, and optimising TV engagement.

We are looking to expand our Data Science team with people who are excited about applying data science to yet-uncharted applications. If you recognize yourself above, apply and join us.

Qualifications and traits we expect from you:  

• A degree in Computer Science, Computer Engineering, Applied Statistics, Mathematics, or a related field
• Solid understanding of statistics and ML principles, with a strong desire to further develop yourself
• Passion for applying statistics and ML skills to answer business questions
• Openness to try new techniques and approaches, and to develop your knowledge and skills
• Strong analytical skills
• Curiosity to understand how the data-related questions fit into broader technology and business objectives
• Internally motivated, intellectually curious, and with a drive for excellence
• Preference for teamwork
• 
  
• Proficient with Python; GIT is a plus
• Basic SQL understanding is a plus; working with Big Data platforms is a plus
• Familiar with Excel
• Proficient in spoken and written English; German is a plus
• 1 year of experience as a Data Scientist or an excellent academic record
• 
  

What will you be doing:

• Taking part in architecting and designing models aimed at answering business questions by proposing DS approaches
• Applying your Python/SQL skills to prepare needed data sets
• Applying your skills to build, improve, and maintain models, including:
• Audience profiling and clustering
• Time-series forecasting
• ML/DL models for classification and forecasting
• Applying statistical skills to implement specific analyses and uncover insights relevant for clients' questions
• Collaborating with the other members of the Data Science team and sharing knowledge to advance the output
• Working within cross-functional teams of marketeers, business analysts, and SW engineers on assessing and testing the viability and fit-for-purpose of proposed solutions, adjusting, and refining the models based on feedback

What we offer you:

• Work in an international team of ambitious people disrupting the TV advertising industry
• Opportunity to develop yourself through exposure and collaboration with the biggest name in the Internet and advertising industry
• Working with leadership team who have run major companies and advised the strategy of the biggest companies
• Varied and challenging tasks, which often have not been solved elsewhere
• Competitive salaries and benefits plan (transportation allowance, kindergarten allowance, additional health insurance, 3rd pension pillar, etc.)
• Flexible hours and working arrangements

At AEOS, we value curiosity, ownership, and innovation. If you thrive in a collaborative, fast-paced environment — and you're excited about working with large datasets and cutting-edge tech — we’d love to meet you.

Think you’re a fit among the misfits? Send us a ping!