Staff Data Scientist

What You’ll Do

• Technical Leader Platform Data team to build a robust, scalable and resilient data platform serving all portfolio applications
• Collaborate with solution teams, product managers, and deliver robust cloud-based Data platform and solutions
• Make decisions on the solution and the design, architecture, and delivery of systems
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and evaluating technical design & code
• Active coach and mentor to your team and grow them in their skills
• Drive agile development and analytical methodologies every day
• Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team
• Interact with your team, customers, and peers to share information and improve cross-department processes
• Strive for transparency and partnership between our engineers and our business partners
• Engage in concept discussions, and proposed technology solutions, to meet business objectives and influence such decisions
• Work with multi-functional project teams on solution architecture options for design
• Ensure all work meets quality, operational, and architectural standards needed for organizational success
• Participate in the team’s YBIYRI model (you-build-it-you-run-it), which includes participating in their on-call pager rotation

Who You Are

• Leadership acumen, first and foremost
• Strong aptitude with software development lifecycle and engineering excellence processes, Agile methodologies, and the ability to project manage moderately sized projects
• Deep data engineering experience in complex distributed systems
• Strong technical acumen which allows you to be responsible for the technical domain
• Hands-on approach and ready to deep dive into code details with the team
• Strong communication, coordination and influencing skills
• Expert in automation with ETL process, data movement with data medallion architecture
• Deep knowledge and experience with languages/frameworks/tooling (Databricks, SQL, Python, PowerShell, C#/.NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS services)
• Expertise with Izenda, SSRS and AWS Data Services a bonus