Job Title

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 achieveAre 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- Bachelor's required; Master's preferred in STEM - 3+ years in data science, analytics, or applied ML. - Strong Python + SQL expertise. - Experience with Spark and Databricks for scalable data processing. - Clear understanding of linear regression and clustering techniques- - Familiarity with cloud ML services like Azure ML. - Experience applying MLflow or similar experiment-tracking tools. - Strong understanding of experimentation, A/B testing, and validation methods.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 .