Data Science Architect (Digital Marketing)

Job Description

Overview

COMPANY

Our client is a world leading manufacturing and distribution organization that creates innovative, high performance industrial surfaces. The company has been in business for over 60 years and is headquartered in Austin, Texas. It manufactures and distributes engineered surface options for use in furniture, office and retail spaces, countertops, worktops and other applications. They do business in more than 90 countries.

POSITION SUMMARY

We are looking for a Data Science Architect (Digital Marketing) who will work as a team member of the Global Digital Services team to lead, execute, and establish the data, analytics, and customer integration platforms that empower the marketing function to engage with, gain holistic insights into, and perform analysis related to customer perception, preferences, and behavior, to drive marketing qualified leads, and revenue outcomes. The ideal candidate will be adept at linking traditional (structured data) as well as new (unstructured) data types related to audiences and customers and establishing the customer data integration framework. The candidate must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms. They must have a proven ability to articulate potential business results with their databased analysis, dashboards and insights; and must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions available in data sets and working with stakeholders to improve business outcomes. This person must have strong technical, functional, project management, and communication skills.

KEY ROLE & RESPONSIBILITIES

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Understand and drive organizational change management to enable user adoption.

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. This would also involve tagging, aggregating, segmenting, trending the data to transform it into reports and dashboards.

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Establish the customer data integration framework / unifying customer data from different structured and unstructured sources using the tools provided by Salesforce / Adobe / Snowflake and the likes

Structured : CRM, online registrations, email campaigns, B2B, other lists

Unstructured : social media, consumer reviews / blogs, forums, user behavior etc.

Develop data models and AI and ML algorithms to apply to data sets.

Use predictive modeling to increase and optimize customer experiences, revenue, ad targeting, effective lead and other business outcomes.

Develop company A / B testing framework and test model quality.

Collaboration with vendors, system integrators, on-shore / off-shore partners, etc.

Coordinate with different functional teams to implement models, monitor outcomes, and develop processes and tools to monitor and analyze model performance and data accuracy.

KNOWLEDGE, SKILLS & ABILITIES

Strong problem solving skills with an emphasis on product development.

Excellent written and verbal communication skills for coordinating across teams.

Experience using statistical computer to manipulate data and draw insights from large data sets.

Familiarity with marketing automation tools like Adobe Marketo or Salesforce Marketing Cloud.

Knowledge of a variety of machine learning techniques and their real-world advantages / drawbacks.

Familiarity with integrations between systems for key data elements using web services or point-to-point.

Knowledge of Scrum and Agile methodology, a plus.

REQUIRED EDUCATION & EXPERIENCE

Education :

Bachelor Degree Required

Degree in Statistics, Mathematics, Computer Science or another quantitative field

Experience :

5-7 years of experience manipulating data sets and building statistical models, and is familiar with the following software / tools :

Coding knowledge and experience with several : C, C++, Java, JavaScript, etc.

Experience with marketing automation tools like Adobe Marketo / Adobe Experience Cloud or Salesforce Marketing Cloud / Salesforce Pardot or similar.

Knowledge and experience in statistical and data mining techniques.

Experience querying databases and using statistical computer like Python.

Experience analyzing data from 3rd party providers : Google Analytics, Adwords, Social media portals, Insights, etc.

Experience with data query tools like MySQL

Experience visualizing / presenting data for stakeholders.

Working knowledge of AI & ML algorithms, and tools such as SageMaker

EEO statement : This position is part of an equal opportunity employers recruitment and selection process.

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