Data Scientist 

A command on the subject to provide holistic solutions is the key desired skill. 

Comprehend the nuances of business goals and convert them into Machine Learning use cases and model design
• Good hold on clustering and sampling techniques. Ability to understand and apply them to design
• Exposed to hands-on work and possess a good understanding of the multi-channel marketing optimization problem space. Desire to learn more
• A knack for understanding relationships and opportunities to influence outcomes by virtue of exploratory and causal relationships. Ability to attribute these cross-channel outcomes.
• Shall be able to find the best predictive models by quickly iterating over common feature transformation and model types.
• Should possess a high ability to interpret the generated models.
A team player, that works closely with data engineering teams to develop top-of-the-line data pipelines. Ability to develop proofs of concept.