Senior Data Scientist

About the Role

This position is within the Data Science team, part of the Digital Experience organization. This team focuses on enhancing customer experience through personalization of offers and content. We are seeking a highly driven Senior Data Scientist to join our team. You will be instrumental in developing advanced recommendation engines using the latest Machine and Deep Learning approaches. The role requires taking ownership of planning and driving ML delivery projects individually, partnering with various stakeholders, and applying scientific rigor to develop and deliver high-quality models and significant business results for our clients. Excellent verbal and written communication skills are essential, along with comfort in an entrepreneurial, 'startup' environment within a larger company.

The team utilizes a robust tech stack including GIT, Python, Java, and AWS, and employs a variety of machine learning techniques such as deep and shallow learning, supervised, unsupervised, and semi-supervised approaches. You will have access to both unstructured and proprietary data covering nearly 100% of the U.S. consumer base.

Brief Description of Role / Responsibilities

• Develop a Data Science product that will deliver high-quality personalized recommendations across different channels to customers.
• Integrate various Deep Learning and Reinforcement Learning Models into the product on an ongoing basis.
• Develop high-performance algorithms for precision targeting, and then test and implement these algorithms.
• Work collaboratively with the Engineering team to ensure the scalability of the solution.
• Collaborate with other team members to ensure high-quality deliverables.
• Prioritize, plan, and deliver a high-quality product to create business impact while maintaining a high bar for scientific rigor.
• Interact with other teams to define interfaces, understand, and resolve dependencies.
• Continuously learn and implement the latest approaches in Data Science.

Qualifications

• MS in Computer Science or a related field with 5+ years of relevant experience.
• Deep knowledge of Machine Learning / Deep Learning approaches and their underlying algorithms / mathematics.
• Demonstrated experience working closely with Engineering teams to deliver and deploy algorithms in a production environment.
• Proficiency with the following Tech Stack: Python, PySpark, Big Data technologies, Docker, Kubernetes.
• Experience with AWS technologies is a plus.
• Good written and spoken communication skills and a team-player attitude.
• Strong analytic thought process and ability to interpret findings.
• Ability to work on multiple assignments concurrently.
• Strong business acumen and interpersonal and communication skills, with the ability to work independently.
• Ability to communicate findings and explain technical techniques in a manner that all stakeholders, both technical and non-technical, can understand.