Senior Data Scientist ?Marketing Experimentation

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Challenge

The Growth Marketing Insights (GMI) organization was established to focus on developing deep media and customer insights to support integrated marketing planning across channels.

We maintain a highly visible and strategically meaningful role in delivering insights to inform business strategies. Our work is informed by the business needs for strategic customer understanding, and may range from media investment performance analysis, deep customer journey investigations, experimentation, to customer segmentation or targeting overlays.

This role will help drive cross channel performance media measurement via experimentation. This role will work closely with cross functional teams to set performance targets, evaluate investment efficiency, and guide targeting and audience strategies.

As a lead scientist on the team you will build out and scale experimentation. You will be measuring the impact that the growth initiatives have throughout the user journey. You’ll apply quantitative analysis, statistical techniques and data mining skills to understand the limitations of running hundreds of simultaneous experiments, help us draw reliable insights with a fraction of the data, enable us to simplify the interpretation of experiments, and scale the number of experiments we run at Adobe.

A balance of analytical / experimentation skills as well as strong communication skills is key! Knowledge of performance media channels is highly preferred!

Position Summary

The Senior Data Science lead will set up the experimentation foundation, governance, measurement, automation infrastructure to measure the various initiatives. You will bring thought leadership across the business in the areas of statistical methods, experimentation and mentor business leaders on best practices in product and marketing test design. In this role you will be responsible for scaling the data science function within the organization.

The ideal candidate should be able to:

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand the drivers of the business
• Manage the design, execution, and analysis of experiments; driving rigorous and testing culture through product and marketing teams
• Conduct research on statistical techniques, evaluate applicability of improved experimental design and measurement techniques to help guide growth teams with appropriate approach for A/B testing their initiatives
• Establish scalable, efficient, automated processes, and data pipelines for large scale data analyses, A/B testing, and related model development
• Define key business metrics for experimentation and running large scale experiments that deliver impactful results to the business

The role is data-intensive and hence you should be comfortable working with large sets of data and deliver business insights from the data using analytical techniques. You should also be willing to offer a strategic perspective, sound business judgment, and able to operate collaboratively/cross-functionally with multiple teams. You will have a hands-on approach to data analysis, machine learning, strong intellectual curiosity, and a passion for achieving practical business impact.

Requirements

• PhD, MS, or BSc. Degree in Statistics/Economics/Mathematics/Computer Science or a quantitative field
• 5+ years working experience delivering, scaling, and owning highly successful and innovative experiments and data science products
• Knowledge of statistical techniques including regression, experimental design, hypothesis testing and the application of ML algorithms
• Practical experience with SQL/Hive/Spark, data mining
• Experience with statistical tools like: R, Python, Tableau
• Experience presenting ideas and driving data driven decision-making with leadership.