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

Responsabilitites:
• As a Data Scientist on our Performance Marketing team, you will be the driving force behind the analysis and optimization of our digital campaigns;
• You will translate complex data into actionable insights and contribute directly to our company's growth;
• In-depth Analysis: Analyze and interpret extensive data from our performance marketing channels (e.g., Google Ads, Meta Ads, LinkedIn Ads, SEO) with a focus on KPIs like CPA, ROAS, and conversion rates;
• Predictive Modeling: Develop and implement machine learning models to optimize the performance of our marketing channels;
• Attribution Modeling: Validate advanced multi-touch attribution models to determine the true value of each marketing channel;
• Optimization & Automation: Develop algorithms to optimize bidding strategies, budget allocation, and target audience segmentation;
• Testing & Validation: Take responsibility for the design, execution, and statistical evaluation of A/B and multivariate tests to continuously improve campaign performance;
• Visualization & Reporting: Create insightful dashboards (e.g., in Tableau, Power BI, or Google Data Studio) and reports that enable the marketing team and management to make data-driven decisions;
• Collaboration: Work closely with Performance Marketing Managers to formulate hypotheses, design experiments, and derive data-driven strategies.

Requirements:
• Education: A successfully completed degree in Computer Science, Statistics, Mathematics, Business Informatics, or a similar quantitative field;
• Experience: At least 2-3 years of professional experience in a data science role, ideally with a proven track record in e-commerce, digital marketing, or AdTech;
• Technical Skills: Excellent programming skills in Python and proficiency with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch);
• Expert knowledge of SQL and experience with relational databases and data warehouses (BigQuery preferred);
• Experience with data visualization tools such as Tableau or Looker Studio;
• Knowledge of cloud environments (GCP preferred);
• Methodological Expertise: A solid understanding of statistical methods, experimental design (A/B testing), and common machine learning algorithms (regression, classification, clustering);
• Soft Skills: A strong analytical and solution-oriented mindset. You have the ability to communicate complex technical concepts clearly and persuasively to a non-technical audience. You are proactive, a team player, and have a keen interest in the business context behind your analyses;
• Languages: Fluency in English (written and spoken)

What We Offer

· Premium medical package
· Lunch Tickets & Pluxee Card
· Bookster subscription
· 13th salary and 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