Data Scientist

About Qualysoft · 25 years of experience in software engineering, established in Vienna, Austria · Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B) · Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development · We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms · Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech · Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia · International team of 500+ software engineers · Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner · Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation. · Project beneficiaries ranging from large-scale enterprises to startups · Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions · Quality-first mindset, culture of innovation, and long-term client partnerships · Global and local reach – trusted by key industry players in Europe and the US Responsibilities As a Marketing Data Scientist, you will leverage our advanced data infrastructure on the Google Cloud Platform (GCP) to generate actionable insights. • You conduct detailed analyses of customer, marketing, and onsite data using SQL and Python to optimize the operational management of marketing campaigns. • You will take end-to-end ownership of your analytical projects—from initial data analysis and preparation to model evaluation and the automated delivery of findings. • Expand and optimize Data Science use cases, such as marketing mix modelling or bidding optimizations, using open source technologies. • Develop and provide self-service BI solutions tailored specifically to marketing requirements and customer attributes. Qualifications • You have several years of professional experience in developing analytical models using machine learning algorithms to derive customer and marketing insights. You possess a broad interest in various modelling approaches, such as time-series analysis, NLP, or deep learning. • You have excellent proficiency in at least one programming language, preferably Python, and are skilled in the practical application of statistical methods. Experience with GCP technologies like BigQuery and the Google AI Platform is a strong asset. • Experience in onsite tracking, e.g., Google Analytics, as well as in online marketing and an understanding of digital marketing strategies and metrics. • Experience with marketing automation tools and CRM systems. • You are characterized by an agile and open mindset, a commitment to quality, flexibility, and a proactive, hands-on mentality. • You enjoy collaborating with diverse teams and have a strong curiosity for new technologies and analytical methods, completing your profile. What We Offer · Premium medical package · Lunch Tickets & Pluxee Card · Bookster subscription · 13th salary/yearly bonuses · Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational · A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities · Flexible working program and openness to remote work · Collaborative mindset – employees shape their own benefits, tools, team events and internal practices · Diverse opportunities in Software Development with international exposure · Flexibility to choose projects aligned with your career path and technical goals · Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud) · Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary *We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.*