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# Data Scientist

- **Company:** SGA Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Software as a Service, Data Files, Data Presentation, Data Visualization, Powerpivot, Power BI, SQL Databases, Tableau (Software), Information Technology
- **Published:** June 12, 2026
- **Apply:** https://www.dice.com/job-detail/112df1cf-3f11-4e5b-8c37-c55aa186705d

## About the Role

* 2-3 years hands-on experience doing quantitative analysis ideally in tech or management consulting
 * Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems
 * Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making
 * Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages
 * Statistical Modeling in Microsoft Excel or Power Pivot
 * Experience building and training statistical/data science models
 * Experience with statistics in SaaS or Subscription Business model environment
 * Experience in Data Visualization tools, preferably, Tableau and Power BI
 * A solid sense of self with an innate sense of curiosity
 * A fast learner with desire to learn new things
 * Bachelor's degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master's degree is preferred

## Description

* Apply your expertise in quantitative analysis and data modeling to uncover deep insights into customer behavior and trends.
 * Act as a thought partner to business leads and influence decisions through compelling data-driven storytelling.
 * Identify business opportunities, build use cases, and recommend data science initiatives to inform our product roadmap.
 * Tackle critical business challenges with data science models to drive scalable and programmatic business solutions.
 * Recommend and implement testing ideas based on detailed analysis.


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