Data Scientist

Job Title

Team culture/work environment: Small team, 2 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.

Required skills: Basic qualification: Additional skills: Background check: Yes. Notes: Selling points for candidate: Project verification info: Exclusive to Apex: No. Face to face interview required: No. Candidate must be local: No. Candidate must be authorized to work without sponsorship: No. Interview times set: : No. Type of project: Assessment/Analysis.

Branch code: Seattle.