Role Overview
We are seeking a highly skilled, strategic, and analytical Data Scientist IV to join our Data Analytics & Engineering team. This role is ideal for an experienced professional who thrives in ambiguous environments, independently leads complex cross-functional initiatives, and is passionate about using data to drive business strategy and operational excellence.
Key Responsibilities
Data-Driven Strategy
- Lead the development and execution of data science strategies to influence key business decisions and drive operational improvements at scale.
Advanced Analytics & Modeling
- Design, build, and deploy advanced analytical models and prototypes.
- Extract actionable insights from large, complex datasets using tools such as SQL, Tableau, Hive, Presto, Python, and R.
Stakeholder Engagement & Communication
- Translate complex analytical findings into clear, compelling insights for both technical and non-technical audiences.
- Present recommendations to senior leadership to support strategic decision-making.
Reporting & Visualization
- Architect, develop, and maintain scalable reporting systems, dashboards, and performance metrics.
- Ensure data visualization best practices are applied across all reporting outputs.
Mentorship & Collaboration
- Mentor and support junior data scientists and analysts.
- Foster a collaborative, high-performance, and learning-oriented team environment.
Innovation & Continuous Improvement
- Identify opportunities to improve processes and introduce innovative data science solutions.
- Drive adoption of best practices in analytics, modeling, and data engineering.
Minimum Qualifications
- Experience:
- 7+ years of hands-on experience in data science, analytics, or a related field.
- Proven track record of delivering actionable insights and measurable business impact.
- Technical Skills:
- Advanced proficiency in SQL (including complex query optimization).
- Strong experience with Big Data tools such as Tableau, Hive, Presto.
- Proficiency in Python and/or R.
- Data Storytelling:
- Demonstrated ability to convert complex data into clear, strategic narratives.
- Data Architecture & Reporting:
- Strong understanding of data pipelines, reporting systems, and visualization best practices.
- Communication:
- Excellent written and verbal communication skills with the ability to influence stakeholders at all levels.
Preferred Qualifications
- Experience in Customer Operations, Scaled Services, or similar domains.
- Proven expertise in working with large-scale, complex datasets.
- Strong history of delivering strategic business impact through data initiatives.
- Experience leveraging AI tools and building AI-enabled solutions within data workflows.
