Senior Data Scientist developing data - driven insights for USAA's Life Company partners. Leveraging advanced analytics and machine learning to enhance business growth.
About the role
- Data Scientist leveraging data science and machine learning to empower mobile business at Adobe. Focusing on customer journey insights and business decision-making through quantitative analysis.
Responsibilities
- Apply expertise in quantitative analysis and data modeling to gain deep insights into customers behaviors/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business
- Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results
- Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap
- Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks
- Recommend testing ideas based on the analysis
Requirements
- 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
- 2-3 years hands-on experience doing quantitative analysis 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
- Deep understanding of mobile analytics, mobile user journey and funnel analysis is strongly preferred
- Statistical Modeling in Microsoft Excel or Power Pivot
- Experience building and training statistical/data science models
- Experience in Data Visualization tools, preferably, Tableau and Power BI
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Remote work options
- Professional development opportunities
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