In this position you will lead and collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools. Effectively communicates the analytics approach (e.g., relevance, tradeoffs) and how it will meet and address objectives to business partners. Advocates and educates on the value of data-driven decision making focusing on the “how and why” of solving problems. You will lead implementation of analytic approaches, integrating work into applications and tools with data scientists, data engineers, business leads, etc. You will act as People Leader for data science community, responsible for establishing community-wide norms and standards and ensuring the development and continuous learning of data scientists.

RESPONSIBILITIES:

•Leads teams creating repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytics solutions, deployable into Production for use by the business. •Provides expert guidance as teams hypothesize and engineer features by using business acumen to find ways to combine disparate internal and external data sources to solve problems. •Shares passion for data science with broader enterprise community; identifies and develops long-term processes, frameworks, tools, methods and standards

•Collaborates, coaches, learns with, and fosters a growing team of data scientists

EXPERIENCE

•Strong understanding of agile methodologies and experience as a Lead Data Scientist on a cross functional agile team preferred

•Expertise applying data science techniques on large scale data sets. E.g., machine learning to solve clustering, classification, regression, anomaly detection problem statements; and optimization or simulation techniques to solve prescriptive problems

•Proven ability to derive new insights by merging and transforming internal and external data sets in business contexts

•Experience with supporting deployment, monitoring, maintenance, and enhancement of models preferred

•Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space

QUALIFICATIONS REQUIRED:

•7+ years of directly related experience in a data science environment with at least 3 years of direct leadership or managerial experience

•Bachelor’s degree required, MS or PhD preferred in the field of data science, computer science, engineering, mathematics, statistics or related fields

PREFERRED QUALIFICATIONS:

Preference will be given to candidates who have the following:

•Python or R required; SQL preferred

•Demonstrated ability to efficiently learn and solve new business domains and problems

•Nice to have experience with popular open-source or commercial optimization libraries(e.g. Gurobi, CPLEX)

•Knowledge with dashboarding tools (e.g., Dash, Shiny, Tableau)

•Nice to have knowledge with MLOps infrastructure (e.g., Databricks, MLflow) and containerization and managing production pipelines and microservices (e.g., Docker, Kubernetes)