In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.

Data Scientist We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve. Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role. As a Data Scientist, you will lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact. Key Responsibilities • Own the end-to-end development of predictive and forecasting models, applying advanced statistical and feature engineering techniques. • Lead complex analyses, including segmentation, clustering, churn prediction, linear optimization, and NLP. • Collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment on Azure Databricks. • Standardize analytical templates and present data-driven insights to business partners with clear narratives and actionable steps. Must-have Skills • Experience: 4+ years of experience in data science, analytics, or applied ML. • Language: Advanced English level (Essential for presenting ideas clearly and consulting with diverse global stakeholders). • Strong technical expertise in Python and SQL. • Proven experience with Spark and Databricks for scalable data processing. • Clear understanding of linear regression, clustering techniques, and experimentation methods (A/B testing, MLflow). • Strong storytelling and consultative skills to effectively explain complex solutions, answer business questions, and "sell" data-driven ideas. Nice-to-have: • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. • Experience with deep learning, modern NLP stacks (Transformers, spaCy), or cloud ML services like Azure ML. • Familiarity with CI/CD concepts or basic MLOps practices. What we offer: • A High-Impact Environment • Commitment to Professional Development • Flexible and Collaborative Culture • Global Opportunities • Vibrant Community • Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here .

Data Scientist

Don't apply unprepared

Data Scientist

Don't apply unprepared