Do you have experience with cloud-based data platforms (AWS, Azure)?

This might be the role for you!

About the Business:

About our Team:

The Tech Optimization team's primary focus is to use business data to provide insights for the organization. To that end, we need a lead data scientist who can lead a small team of data analysts to pull the right datasets and create reports and dashboards for executive leadership.

About the Role:

The BI Data Scientist plays a critical role in transforming complex data into actionable insights that drive strategic decisions. This position combines advanced analytics with business intelligence practices to deliver scalable dashboards, predictive models, and data-driven recommendations. The role requires strong technical expertise, business acumen, and a solutions-oriented mindset.

A Lead Data Scientist leads a team of junior members to support their development and work product. They define the scope of a project and execute that project as a team. They support the development and training of junior members. They develop best practices as team leaders.

Responsibilities

• Understand complex data relationships and design structured data models.

• Develop and maintain repositories to manipulate raw data into usable formats.

• Improve sourcing, manipulation, and delivery of data through internal tools.

• Perform independent data analysis to identify trends, patterns, and anomalies.

• Design and maintain frameworks to measure productivity gains from AI tools, automation, and other internal team initiatives

• Build user-friendly, scalable dashboards with drill-down capabilities. Automate data pipelines and reporting routines for timely delivery.

• Partner with technology teams to align analytics with organizational goals.

• Provide stakeholders with relevant analysis using consultative support; communicate insights through clear visualizations and storytelling.

• Ensure data integrity and adherence to governance standards.

Requirements:

• Proficiency in Python, Excel macros, SQL; experience with BI tools (Power BI, Tableau) and automation tools.

• Strong understanding of ETL processes, data modeling, and database management; familiarity with machine learning frameworks and statistical analysis.

• Understanding of KPIs and organizational performance metrics.

• Able to manage a small team of data analysts and provide mentoring and guidance



U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.



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