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Zoetis Inc.

Next Generation Sales Engine (NGSE) Data Scientist

Reposted 9 Days Ago
In-Office
Parsippany, NJ, USA
Mid level
In-Office
Parsippany, NJ, USA
Mid level
The Data Scientist will support the US Sales Operations team by providing analytical insights, developing predictive models, and creating visualizations to optimize sales performance and drive business strategies using advanced analytical techniques.
The summary above was generated by AI

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, 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 2 years of professional experience working 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 REQUIRMENT

  • 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

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.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at [email protected] to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

HQ

Zoetis Inc. Parsippany, New Jersey, USA Office

10 Sylvan Way, Parsippany, NJ, United States, 07054

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