Mid Level Data Scientist
hace 6 días
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
- Lead end-to-end design of high-complexity models (deep learning, advanced forecasting, optimization).
- Partner with senior leadership to define data science strategy and roadmaps.
- Architect feature engineering frameworks, experimentation standards, and modeling conventions.
- Oversee deployment and integration of models using Spark and Databricks.
- Mentor and technically guide L1 and L2 Data Scientists.
- Review and standardize best practices for code, modeling, documentation, and validation.
- Communicate analytical direction to C-level and VP-level stakeholders.
Must-have Skills
- Bachelor's in DS/CS/Stats/Math or equivalent experience; Master's preferred.
- 7+ years in applied data science with proven business impact.
- Skilled in Python, Spark, SQL, and cloud-scale ML pipelines.
- Skilled monitoring model's drift
- Strong experience deploying models in Azure Databricks using MLflow.
- Deep understanding of experimentation, causal inference, and business impact modeling.
- Strong critical thinking for ML + BI integration (Power BI preferred).
Nice-to-have:
- Publications, open-source contributions, training, or conference participation.
- Exposure Data and AI governance, and enterprise data strategy.
- Leadership experience overseeing multi-project teams.
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.
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