Data Science Engineer

Adobe Systems Incorporated • San Jose, CA

97d • $128,600 - $234,200

About The Position

The Data Science team is seeking a dedicated Data Science Engineer. This role provides an outstanding opportunity to work with exceptionally skilled professionals and influence our sales strategy directly. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities. You will partner with senior partners and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy. Your ability to communicate complex model features to business owners will be essential for encouraging confidence and enabling sellers to drive impactful customer conversations. This is a fast-paced environment that requires the ability to make tactical decisions quickly to balance methodologies with business priorities.

Requirements

• 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential
• Experience with Databricks and Python is desirable
• Proven experience of building, testing, evaluating, and improving revenue-generating data science models
• Knowledge of propensity modeling techniques and other modeling techniques would be beneficial
• Proven experience translating complex analytics into understandable insights for senior collaborators is essential
• Strong problem-solving skills and experience in a fast-paced business environment with changing requirements

Responsibilities

• Develop and own rSAM models to size headroom opportunities in the book of business for specific offerings and customer segments
• Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change
• Engage with senior collaborators to understand key growth areas and ensure solutions align with business priorities
• Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements
• Support the customer segmentation process using rSAM and other insights
• Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting
• Deliver channel segmentation to determine customer engagement strategy and optimize lifetime value
• Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions
• Automate model refreshes and account prioritization processes
• Build propensity models to drive sales campaigns using predictive modelling techniques

Benefits

• Compensation reflects the cost of labor across several U.S. geographic markets
• Pay range for this position is $128,600 -- $234,200 annually
• Short-term incentives in the form of sales commission plans for sales roles
• Annual Incentive Plan (AIP) for non-sales roles
• Certain roles may be eligible for long-term incentives in the form of a new hire equity award

What This Job Offers

• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 5,001-10,000 employees