**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: ***Key Responsibilities*** * Own end\-to\-end development of predictive and forecasting models. * Lead analyses including segmentation, clustering, churn prediction, attribution, linear optimization, or NLP. * Apply advanced statistical modeling and feature engineering techniques. * Collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment on Azure Databricks. * Standardize analytical templates, reusable code, and experimentation frameworks. * Present insights and models to business partners with clear narrative and action steps. ***Must\-have Skills*** * 7\+ years in data science, analytics, or applied ML. * Bachelor's in Data Science, Statistics, Engineering, Computer Science, or related fields. * Strong Python \+ SQL expertise. * Familiarity with cloud ML services like Azure ML. * Experience with Spark and Databricks for scalable data processing. * Experience applying MLflow or similar experiment\-tracking tools. * Strong analytical mindset and eagerness to learn. ***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 or modern NLP stacks (Transformers, spaCy). * Familiarity with CI/CD concepts or basic MLOps practices. * Industry experience in forecasting, operations, or customer analytics. **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.