Related skills
r sql python machine learning hadoop📋 Description
- Build strong relationships with clients to understand challenges and success metrics.
- Investigate and implement analytical techniques for each project, reusing global solutions.
- Deploy data science algorithms and market products on chosen tech stack for efficient delivery.
- Identify opportunities to grow client engagement by solving strategic questions with advanced data science.
- Participate in client meetings to present methodology and solutions with storytelling.
- Work with the global products team to provide market feedback for product enhancements.
🎯 Requirements
- Bachelor’s degree in CS/Math/Applied Statistics/Engineering or related field.
- At least 4 years in software development; Agile/Scrum; PySpark, Python, Flask/Dash, C++, HTML.
- QA/testing experience with automated and manual frameworks.
- At least 2 years handling large data volumes with Hadoop, Spark, SQL, Python.
- Data interpretation and insight analysis for business and technical decision-making.
- Python and R programming with data mining/modeling, including ML.
🎁 Benefits
- Flexible hours and birthday off.
- Access to cutting-edge technology.
- Flexible, agile working environment for learning.
- Inclusive culture with employee networks.
- Comprehensive rewards package and personal flexibility.
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