Next Generation Sales Engine (NGSE) Data Scientist - Zoetis : Job Details

Location: Parsippany Preferred

POSITION SUMMARY

This role has been created to directly support the US Sales Operations team and US Business Units. This role interfaces across the organization to answer challenging analytical questions and highlight insights to customers such as revenue generation ideas, opportunities and observations that focus on behaviors that reflect potential loss in advance. This position will provide creative solutions to help solve complex business problems using advanced analytical techniques while leveraging both internal and external data sources; along with frequent interaction with other cross-functional business units. The role will provide the candidate with an exceptionally broad view of every aspect of Zoetis business and serve as critical support for our US Petcare. This position involves working with structured and unstructured, real-world data and requires a candidate who is comfortable thinking independently about solving business problems.

To be successful the ideal candidate will demonstrate a thirst for knowledge and natural curiosity that facilitates rapid learning of Zoetis business model and our data infrastructure at a scale that supports a growing $2b region. Analysts will produce insightful analytic data models and visualizations depicting Zoetis Sales Force performance, Optimization opportunities and proactive direction for our Sales Organization. Candidates must be self-motivated, detail-oriented, have the ability to work with limited supervision and must be comfortable in an environment of changing priorities.

POSITION RESPONSIBILITIES

• Understand and use statistical predictive models such as regression and time series models to identify trends, make forecasts and provide projected figures.
• Perform machine learning, natural language processing techniques such as classification, collaborative filtering, association rules, sentiment analysis and topic modeling.
• Develop new Dashboards and Self-Serve capabilities that proactively enable the Field Force, positioning data to leaders for Sales optimization and Performance Management.
• Drive initiatives focused on Big Data and Advanced Business Analytics, in diverse domains such as product sales, marketing research, pricing; communicate results and educate others through reports and presentations.

ORGANIZATIONAL RELATIONSHIPS

Internal:

• CoE BA/SP/MR team
• Commercial Leadership (US)
• Species peers (US)

EDUCATION AND EXPERIENCE

• Masters from an accredited college/university in Computer Science, Statistics, Mathematics, with a minimum of two years of relevant experience as a Data Scientist.
• Microsoft Azure – Machine Learning Studio, HD Insight.
• Proficiency in analysis – “R” packages, programming languages (Python).
• Tableau Certification – Developer / Administrator.
• Strong knowledge in the following fields: machine learning, data visualization, statistical modeling, data mining and information retrieval.
• Strong analytical mind and in-depth understanding of key business drivers.
• Strong interpersonal skills and excellent written and verbal communication skills.
• Fluency in English required.
• Experience with command-line scripting, data structures and algorithms and ability to work with SQL Server, processing large amounts of data in a cloud environment.
• All Candidates should be prepared to discuss experiences and competency with SQL, Tableau, “R” / Python, Microsoft Azure.

TECHNICAL SKILLS REQUIREMENT

• Statistics / Quantitative Analytics
• Experience working with structured & unstructured data
• Visualization
• Business Acumen
• SQL Server

Physical Position Requirements

Travel requirement: less than 20%

Full time Regular Colleague