Data Scientist

Job Title

Team culture/work environment: Small team, two partners and PSPs, collaborative. Key projects: Looking at data, looking at the trends in the store.

Daily responsibilities: Extracts data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates data. Employs scaling & automation to data preparation techniques. Determines analytics approach to solve business problems; incorporates machine learning algorithms where appropriate. Connects insights to business decision making options and next steps testing or research opportunities. Understands business initiatives and serves as primary analytic resource in discussions with business partners to define business questions. Drives creation of final insights package and recommendations; leads presentation. Directs analytic component of implementation of insights into business processes and ensures appropriate testing takes place. Develops project proposals, gains stakeholder buy-in, and ensures timelines are met. Promotes and advocates value of advanced analytics to solve business problems within department. Mentors data analysts in descriptive and predictive analytics.

Technology requirements: Tableau, Power BI, ServiceNow, Python (not a lot), Splunk. Years experience: 5+. Required background/skills: People skills, visual story telling, stakeholder cross functional, identify trends. Nice-to-haves: Experience in developing dashboards.