Prototyping, developing, and deploying advanced analytics data models and machine learning solutions
- Communicating with the product and business teams to understand business processes and translate them to modeling requirements
- Analyze large volume data and generate insights which will be actionable
- Implement and deploy ML models in collaboration with the engineering team
- Monitor and perform analytics on deployed models in order to evaluate model drift and assess when the model should be retrained
- Communicate with stakeholders within the data team and the business team and bridge those requirements with the engineering team - Share knowledge by mentoring, pairing, and collaborating with other data scientist, analysts, and engineers
- Minimum 2 years of relevant experience in Data Science
- Advanced knowledge in Python) Pyspark/ R is essential
- Working knowledge of SQL is strongly preferred
- Experience in deploying machine learning models to production
- Proficiency with git Cl/CD, and deployment automation
- Experience in Machine Learning, Computer Vision and Deep Learning specific algorithms is a plus (e.g.
SKLearn, TensorFlow)
- Familiar with Azure, OCP or AWS
- Familiar with Power Bi or Tableau
- Strong communication skills (English is a must)
- Teamwork mindset and ability to work closely with cross-functional teams
- Exceptional interpersonal skills
- Self-starter with a can do attitude
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