Senior Data Scientist - Next Generation Sales Engine (NGSE)

Location: Parsippany Preferred

POSITION SUMMARY

As a Senior Data Scientist, this person will work with the business in the following four areas:

• Leadership- manages team of data scientists and machine learning engineers, planning projects, and building analytics models, leveraging on large volumes of data across sources in a variety of forms.
• Strategy- plays a strategic role in creating industry-leading performance through the leveraging of new and creative data-sources and employing the latest in machine learning in the department.
• Analytics- plays critical role to drive experimental data modeling designs within the business. Will be responsible to run A/B tests in order to evaluate changes in digital products and services
• Collaboration- will collaborate with cross functional teams including Marketing, Sales, and Zoetis Tech and Digital and serves as a trusted advisor to senior leaders in the creation and deployment of useful insights that inform and activate business strategies across the business

POSITION RESPONSIBILITIES

• Responsible for leading the development of analytics focused products and utilizing cutting edge machine learning, natural language processing, and mathematical techniques to identify revenue generating opportunities and enhance customer expectation
• Lead a team of 3-5 data scientists and machine learning engineers
• Build predictive models to inform advanced insights, account prioritization, next-best-action, campaign optimization, and commercial test-and-learn for NGSE
• Perform predictive analytics to identify core opportunities to drive business value, utilizing machine learning techniques such as logistic regression, random forests, collaborative filtering, sentiment analysis and topic modeling
• Implement, deploy, and maintain ML augmented tools for users to act on insights and recommendations generated by models and analytics
• Generate buy-in and engagement by effectively communicating results through presentations and visualizations

ORGANIZATIONAL RELATIONSHIPS

Internal:

• Marketing
• Sales
• Zoetis Tech and Digital
• NGSE team
• Business Analytics
• Market Research

EDUCATION AND EXPERIENCE

• Masters from an accredited college/university in Computer Science, Statistics, Mathematics, Operations Research, or related field
• Minimum of 7 years of professional experience working as a Data Scientist
• Demonstrated experience building deployed prediction models to create business value, preferably in sales and marketing applications
• Strong analytical mind, intellectual curiosity, and business acumen; ability to translate mathematical models and results into business concepts and vice versa
• Excellent interpersonal, written, and verbal communication skills; demonstrated ability to effectively communicate complex ideas to a non-technical audience
• Fluency in English required

TECHNICAL SKILLS REQUIREMENTS

• Experience in building predictive models in Python (Pandas/PySpark preferred)
• Experience in large-scale/distributed computing and analytics (Spark)
• Strong statistics acumen including design of experiments
• Knowledge of SQL
• Experience with source control and collaboration tools (e.g. Git and Github Enterprise)
• Experience working in Azure cloud environment
• Experience in data engineering a plus
• Tableau / data visualization experience a plus
• Software development / engineering experience a plus
• Experience in scaled model testing, integration, and deployment (DevOps) a plus
• Experience working in Microsoft tech stack including SQL Server and Azure preferred
• Experience working with Azure Databricks and Data Factory a plus

PHYSICAL POSITION REQUIREMENTS

• Travel requirement : approx. 5%

Full time

Regular

Colleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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