NGSE Data Science Lead
Zoetis

Parsippany-Troy Hills, New Jersey

Posted in Pharmaceuticals


This job has expired.

Job Info


POSITION SUMMARY

The role will directly enable the development of the Next Generation Sales Engine (NGSE), an advanced-analytics enabled enhancement of the go-to-market sales strategy. The ideal candidate is a leader in data science with strong business acumen and have evidence of leading initiatives delivering business value. They will lead and mentor a team of data scientists to build new and innovative digital products and analytics solutions. The role will involve frequent interaction with key stakeholders across sales, marketing and Zoetis tech and digital organizations.

To be successful, the ideal candidate will demonstrate a thirst for knowledge and a natural curiosity to enable rapid learning of the Zoetis business model and data & analytics infrastructure at a scale to support a growing business. The position requires a candidate who is comfortable translating and connecting the business context to the technical and analytical design & execution. The successful candidate will be passionate about solving the most critical business problems through data science and advanced analytics and must be self-motivated, detail-oriented, with strong independent problem-solving skills, able to lead technical teams, and be comfortable in an environment of changing priorities.

POSITION RESPONSIBILITIES

  • Lead and mentor team of data scientists to build new machine learning and AI solutions to drive impact and results for the Zoetis commercial organization
  • Be a recognized expert and provide thought leadership in a specialist field within data science and advanced analytics, and in their underlying technology infrastructure and tools, e.g. Data Science, Data Engineering. Analytics Software Development, etc.
  • Initiate and propagate best practices for technical development and engineering in their specialist field across multiple technical products within NGSE and Zoetis
  • Serve as technical experts in their specialist fields for relevant applications within NGSE and Zoetis
  • Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques
  • Collaborate closely with business stakeholders to drive the analytics roadmap and long-term analytics strategy.

ORGANIZATIONAL RELATIONSHIPS

Internal:
  • Field Force Effectiveness Teams
  • Marketing and Sales colleagues (US)
  • Species peers (US)
  • Zoetis tech and digital

EDUCATION AND EXPERIENCE
  • Minimum of 7 years of relevant industry work experience providing data science and advanced analytics solutions in commercial settings
  • Advanced degree from an accredited college/university in a field linked to business analytics, statistics, operations research, applied mathematics, computer science, engineering, or related fields
  • Strong record of professional accomplishment and leadership
  • Demonstrated ability to lead and manage data science and analytics engineering teams
  • Strong analytical mind and business acumen; ability to translate mathematical models and results into business concepts and vice versa
  • Demonstrated experience in identifying commercial priorities and then architecting, building and deploying data science models to create business value, preferably in sales and marketing applications
  • Excellent interpersonal, written, and verbal communication skills; demonstrated ability to develop strong relationships with and effectively communicate complex ideas to technical and non-technical audiences
  • Excellent project management and time management skills

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 in data engineering 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
  • Position is based in Parsippany, NJ
  • Travel requirement : approx. 5%

Full time

Regular

Colleague

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 zoetiscolleagueservices@zoetis.com 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.


This job has expired.

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