Director Data Science

Location: This position will work a hybrid model (remote and office). Ideal candidates will live in Chicago IL, within 50 miles of one of our PulsePoint locations.

The Director Data Science will lead a team of Data Scientists engaged in the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences.

How you will make an impact:

• Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners.

• Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data.

• Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis.

• Lead batch and real-time model scoring to drive actions.

• Oversee the development of proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.

• Develop sophisticated visualization of analysis output for business users.

• Publish results and address constraints/limitations with business partners.

• Provides high-level controllership/evaluation of all output produced to ensure established targets are met.

• Determines the continuous improvement opportunities of current predictive modeling algorithms.

• Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.

• Hires, trains, coaches, counsels, and evaluates the performance of direct reports.

• Associates in this role are expected to have expert knowledge of software such as SAS and SAS Enterprise Miner Lead and programming languages such as Python and R.

Minimum Requirements:

Requires MA/MS in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. Requires 7 years of experience or more in predictive analytics or any combination of education and experience that would provide an equivalent background.

Preferred Skills, Capabilities and Experiences:

• Requires 3 years of experience leading advanced modeling teams.

• Experience working with cross-functional project teams and managing communications including in-person or virtual meetings is required.

• Experience with presenting project output to a wide range of audiences is required.

• PhD and experience in the healthcare sector preferred.