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:
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 here.
Top Skills
What We Do
Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.
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