Mid Senior Data Scientist (Python)

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 

• 3+ 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.