Note: The job is a remote job and is open to candidates in USA. Soona is seeking a Senior Data Scientist who will apply statistical analysis and modeling techniques to extract insights from complex datasets. The role involves building analytical models, collaborating with stakeholders, and ensuring data infrastructure reliability to support business growth.
Responsibilities
- Apply statistical analysis, modeling, algorithms, and data engineering techniques to extract insights from complex datasets to support business growth and scalability
- Build, maintain, and enhance operational and analytical models that improve customer understanding, product performance, and business decision-making
- Analyze data from multiple sources to identify trends, risks, and opportunities for operational and strategic improvement
- Design and maintain a foundational data infrastructure, ensuring data accuracy, validity, and reliability
- Collaborate with cross-functional stakeholders to identify opportunities to leverage data for business solutions and process improvements
- Develop algorithmic models related to demand planning, order routing, and capacity scheduling
- Translate quantitative and qualitative insights into clear recommendations for leadership to influence business strategy
- Demonstrate strong business acumen and the ability to communicate technical findings to non-technical audiences
Skills
- Master's degree (or foreign equivalent) in Computer Science, Analytics, or a related field plus two (2) years of experience as a Data Scientist, Data Analyst, or related role
- Experience must include developing business intelligence dashboards and automated reporting scripts using Tableau and SQL
- Delivering insights in a format easily transferable to modern BI platforms such as Looker for monitoring KPIs and business performance
- Designing and automating SQL-based ETL pipelines to extract, transform, and load transactional and operational datasets, supporting KPI tracking, recurring business reporting, and data consistency across systems
- Utilizing Python for trend analysis and forecasting on operational and business datasets, producing reports and predictive models used by stakeholders to plan revenue and operational strategies
- Will accept a Bachelor's degree and five years of experience in lieu of a Master's degree and two years of experience, in addition to the skills above
- Employer will accept any combination of education, experience, or training
Benefits
- Standard benefits
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