Senior Applied Scientist, JP Science and Data AVS ProServe

We are seeking a talented customer-focused Senior Applied Scientist to join the AVS ProServe Science and Data this role you will develop and apply machine learning algorithms to solve ambiguous business problems leading the roadmap to help vendors understand their customers identify opportunities for growth and define long-term strategy.

The ideal candidate brings deep expertise in machine learning interpretable models transformers and experimentation along with the business acumen to translate problems into scalable science solutions.

Were looking for a self-starter with an entrepreneurial spirit who is comfortable with ambiguity demonstrates strong attention to detail and thrives in a fast-paced data-driven environment with a passion for driving measurable impact.



Key job responsibilities
Develop customer understanding models by designing and building orchestrated ML solutions that enable vendors to deeply understand their customers and uncover growth opportunities
Bridge science and business strategy by translating model outputs into actionable insights and recommendations that inform vendor growth strategies customer acquisition and long-term planning
Measure and validate business impact by closing the loop between science solutions and business outcomes establishing measurement frameworks that quantify impact surface new opportunities and continuously refine the path to vendor growth
Lead cross-functional collaboration by working with engineers scientists consultants and business leaders to deploy scalable solutions while communicating complex technical concepts clearly to non-technical audiences
Stay at the forefront of innovation by applying state-of-the-art techniques in machine learning interpretable models and transformers to solve ambiguous business problems while fostering rapid experimentation and continuous learning


- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience with statistical modeling machine learning transformer architectures and representation learning
- Experience with designing experimentation and measurement frameworks to evaluate model performance and business impact

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