Senior Data Scientist

RESPONSIBILITIES: • Consider implementation constraints, both business and technical, and defines approach across increasingly complex/large analytics use cases • Autonomously define the master table for increasingly complex engagements with a good understanding of all trade-offs in model building • Contribute to feature validation • Independently deliver one or multiple workstreams over the full duration of a project • Have an excellent understanding of leading-edge methodologies with emerging spikes in one or more methodologies (e.g., deep learning) or domains. Can apply these rigorously to a range of problems • Guide junior colleagues in the application of analytics approaches • Create series of outputs/plots that build upon each other to guide problem solving with business teams. Suggests outputs across all workstreams • Write production code optimized for efficiency and memory • Conduct code reviews with junior colleagues • Lead overall model validation/QA approach across the engagement • Excellent understanding of risks and how to mitigate • Raise potential ethical issues related to analytics to leadership EXPERIENCE: • Strong understanding of agile methodologies and experience as a Sr Data Scientist on a cross functional agile team preferred • Proficiency 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: • 4+ years of directly related experience in a data science environment. • Bachelor’s degree required, MS or PhD preferred in the field of data science, computer science, engineering, mathematics, statistics, or related fields • Python or R required; SQL preferred PREFERRED QUALIFICATIONS: Preference will be given to candidates who have the following: • 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)