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 theres no limit to what we can achieve
Are you a fit
Sounds awesome right Now lets make sure youre 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.
- Bachelors 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.
Required Experience:
Senior IC
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 ...
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 theres no limit to what we can achieve
Are you a fit
Sounds awesome right Now lets make sure youre 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.
- Bachelors 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.
Required Experience:
Senior IC
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