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
- Clean preprocess and validate datasets to ensure quality and consistency.
- Conduct exploratory data analysis (EDA) to uncover trends and support hypothesis generation.
- Build and evaluate basic predictive models (regression classification) with guidance.
- Support simple NLP tasks (e.g. text cleaning keyword extraction).
- Create visualizations and dashboards for internal stakeholders using Power BI.
- Document processes and collaborate with Data Scientists L2/L3 and Data Engineers.
Must-have Skills
- Expert-level experience in Azure Databricks
- Bachelors in Data Science Statistics Engineering Computer Science or related fields.
- Solid understanding of statistics probability and basic ML methods.
- Proficiency in Python pandas NumPy and scikit-learn.
- Basic SQL skills for data extraction and wrangling.
- Familiarity with visualization libraries (Matplotlib Seaborn) or BI 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.
- Exposure to Spark or Databricks.
- Experience with MLflow Git or Docker.
- Internship or project experience in applied data science.
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.
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
- Clean preprocess and validate datasets to ensure quality and consistency.
- Conduct exploratory data analysis (EDA) to uncover trends and support hypothesis generation.
- Build and evaluate basic predictive models (regression classification) with guidance.
- Support simple NLP tasks (e.g. text cleaning keyword extraction).
- Create visualizations and dashboards for internal stakeholders using Power BI.
- Document processes and collaborate with Data Scientists L2/L3 and Data Engineers.
Must-have Skills
- Expert-level experience in Azure Databricks
- Bachelors in Data Science Statistics Engineering Computer Science or related fields.
- Solid understanding of statistics probability and basic ML methods.
- Proficiency in Python pandas NumPy and scikit-learn.
- Basic SQL skills for data extraction and wrangling.
- Familiarity with visualization libraries (Matplotlib Seaborn) or BI 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.
- Exposure to Spark or Databricks.
- Experience with MLflow Git or Docker.
- Internship or project experience in applied data science.
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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