Data Scientist/ Senior Data Scientist | Monetization Strategy

Key Skills

Python Programming, SQL, Business Intelligence, Data Visualization, Tableau, R Programming, Einstein Analytics, Predictive Modeling

Job Description

Analyst/Data Scientist - Monetization Strategy

Team Overview
The Monetization Strategy team drives global revenue growth across Salesforce products. We work closely with product managers, sales strategy, product marketing, and other stakeholders to design, create, and refine quantitative models tuned to deliver revenue-driving opportunities and recommendations. We succeed by integrating these models into existing business processes through close partnerships with our stakeholders.

What You Will Do

• Work through all stages of the model development lifecycle: defining the business problem, gathering and structuring data, building and testing statistical, quantitative, and predictive models, and communicating recommendations and business impact to stakeholders
• Proactively progress monetization initiatives through all phases - from formulation, to modeling, to evaluation, and to deployment of data science/model features to production
• Partner closely with our business stakeholders to understand and support their strategic goals, operational processes, and KPIs
• Acquiring, analyzing, and structuring large amounts of data to provide key business insights across disparate sources of data (SQL ,Oracle, Hive, Hadoop, HBase, Spark, Kafka, AWS, MongoDB, etc.)
• Design and create self-service dashboards and tools tuned to drive revenue impact
• Document processes, use cases, and requirements in a way that can be understood by technical and business stakeholders
• Understand and leverage existing business processes to help increase awareness and relevancy of recommendations
• Communicate your findings and recommendations clearly and concisely with business stakeholders
• Continuously improve on existing processes, automate existing analyses, define best practices, and provide thought leadership around monetization initiatives

Preferred Qualifications

• Advanced degree in statistics, mathematics, computer science, engineering, economics, or other relevant fields
• 5+ years of analytics experience including applied techniques in Predictive Modeling using Python/R
• Solid understanding of statistical analysis (e.g. hypothesis testing, regressions) and Predictive Modeling
• Expert in SQL and BI/Visualizations (Tableau, Einstein Analytics, etc.)
• Demonstrated experience with building predictive models in Python/R or other programming languages
• Thrives in ambiguity and can adopt quickly in a rapidly-changing environment
• Ability to distill relevant problems, algorithms, and constraints from interactions with internal stakeholders
• Strong analytical and problem-solving skills
• Able to think strategically and operate effectively with executive management
• Innovative mindset with an eagerness to learn