Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.
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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