Data Scientist

This Data Scientist role supports data science initiatives by developing and optimizing algorithms for marketing campaign optimization. The role involves using Python, Jupyter, and GCP services to analyze large datasets, design A/B tests, and deliver actionable insights. The ideal candidate has 3-10 years of experience, strong machine learning knowledge, and proficiency in data manipulation with Pandas and NumPy.

This Data Scientist role in the R&D department creates data models to analyze petabytes of data from various sources and researches new features for product solutions. The scientist will turn raw data into usable metrics, develop new models and statistical algorithms, and deploy machine-learning models into production. Requires an M.Sc in a quantitative field, 3+ years of experience with statistical and ML tools like Python and R, and experience with Big Data tools and cloud infrastructure like PySpark and AWS.

This role focuses on analyzing complex datasets to extract actionable insights and build predictive models. The data scientist will apply statistical and machine learning techniques to support business decisions and drive data-driven strategies.

Apply advanced analytics and machine learning to enhance Start.io's mobile AI audience and advertising solutions. Work on data modeling, segmentation, and predictive insights to drive business growth.

Diese Führungsrolle leitet die IT-Infrastruktur und den Plattformbetrieb und gewährleistet Systemzuverlässigkeit, Sicherheit und Skalierbarkeit. Sie umfasst strategische Planung, Teamführung und die Überwachung von Cloud- und On-Premise-Umgebungen.

This role manages client relationships and supports research projects at a market research panel company. It requires a background in research methodologies and strong account management skills to drive business development. The position is hybrid-remote based in Sofia.

Diese Rolle als Consultant Data & Insights umfasst die Erbringung datengestützter Beratungsdienstleistungen, die Übersetzung komplexer Daten in umsetzbare Erkenntnisse für Kunden und die Unterstützung strategischer Entscheidungen. Die Position erfordert ausgeprägte analytische Fähigkeiten und kundenorientierte Kommunikation.