Offer summary

Qualifications:

2-5 years of experience in data engineering, data science, or analytics., Proficiency in SQL and experience with large datasets, preferably on Big Query., Background in Computer Science, Statistics, or a related field, with scripting skills in Python., Experience with BI tools like Tableau or Looker, and familiarity with cloud data management tools..

Key responsibilities:

Develop analytical data structures and dashboards to support deep learning solutions.

Conduct regular and ad-hoc analyses to align with strategic objectives.

Collaborate with ML experts and engineers to enhance ad products.

Deliver high-quality outputs within agreed timelines, managing multiple tasks effectively.

Job description

Location: Poland

We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

You Will:

You will join an ambitious team of versatile data analysts who empower collaboration between ML experts and the technological leadership of our fast-growing company, which provides world-class, performance-focused ad products. You will help align large-scale deep learning solutions with our tactical and strategic objectives by developing analytical data structures, dashboards as well as both regular and ad-hoc analyses.

Desired Experience:

2 - 5 years of experience in data engineering, data science, analytics, large-scale technical campaign management for e-commerce or on-line marketing.
Exceptional critical thinking, sharp analytical acumen, and a logical mindset to solve complex challenges with precision.
Proficiency in SQL and working with large datasets (ideally on Big Query).
Understanding of AdTech or similar industry.
Proficiency in a BI tool (Tableau or Looker preferred), readiness to own and deliver dashboard development as well as maintenance, experience with the tool caveats.
Background in Computer Science, Statistics or a related field.
Scripting or automation skills using Python or Google Cloud tools.
Experience working in interdisciplinary teams involving engineers and business functions.
Hands-on experience with statistics or machine learning.
Programming experience (ideally Python), familiarity with Git repositories.
Hands-on experience with cloud data management and analytics tools (ideally GCP tools such as Dataform, Colab Notebooks used at scale).
Curiosity coupled with ability to stay focused and deliver high-quality outputs (refined tables, dashboards) in agreed timelines in spite of several interesting distractors.

We Offer:

Competitive Compensation: We offer an attractive salary package with significant growth opportunities adequate to your impact.
Large, meaningful datasets to work with.
Modern Technology: Engage with modern Cloud (GCP) and on-prem technologies on large-scale.
Wellbeing: extremely flexible conditions - contribute when it is convenient for you and devote as much time as you can; Remote-first environment.

Apply now!

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

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