NGSE Software Engineer

at  Zoetis

POSITION SUMMARY

This role has been created to support the US Petcare Organization. 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 candidate will design, prototype, build, and implement production-grade code to support the deployment, automation, and use of Machine Learning-based tools to realize the value of Data Science and Advanced Analytics for the Sales and Marketing Organizations. The role will involve frequent interaction with key stakeholders across the sales and marketing organizations and provide the candidate with an exceptionally broad view of every aspect of Zoetis’ business, while serving as critical support for the US Petcare division.
To be successful, the ideal candidate will demonstrate a thirst for knowledge and natural curiosity to enable rapid learning of the Zoetis business model, NGSE’s DS-based tools and their users’ needs to support a growing $2b region. The position involves working with end-users and brand-new tools, requiring a candidate who is comfortable thinking independently about solving business problems. Candidates must be self-motivated, detail-oriented, can work with limited supervision, and must be comfortable in an environment of changing priorities. Candidates should have a strong business acumen, with evidence of delivered business value, preferably in a commercial setting.

EDUCATION AND EXPERIENCE

• Bachelor’s degree in Computer Science or related field
• 2+ years of professional software development experience
• Demonstrated experience working with Data Scientists and Data Engineers, experience deploying ML-based tools in a production environment a strong advantage
• Experience working in teams using Agile development methods and tools
• Experience building and deploying code into production
• Proficiency in version control systems like Git for managing codebase changes and collaboration with team members
• Strong analytical skills, intellectual curiosity and business acumen; demonstrated ability to connect business priorities and drive commercial impact with work output
• Excellent interpersonal, written, and verbal communication skills, demonstrated ability to effectively communicate technical ideas to a non-technical audience
• Fluency in English required

TECHNICAL SKILLS REQUIREMENTS

• Strong development capability and experience in Python and PySpark
• Experience in large-scale/distributed computing and analytics (Spark)
• Experience with Azure cloud stack (including Azure Data Lake, Databricks, Data Factory)
• Experience with relational and noSQL databases
• Experience with visualization tools (e.g. Tableau, d3.js) preferred
• Experience with Salesforce Lightning integration preferred
• Experience with mobile languages and frameworks (e.g. React) preferred
• Experience with OpenAI models (e.g. GPT) preferred
• Experience with deployment pipeline or workflow for deploying AI models and improvements to the generative AI system preferred

PHYSICAL POSITION REQUIREMENTS

• Position is based in Parsippany, NJ
• Travel requirement: Approximately 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.
  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 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

• Design, prototype, build, and implement production-grade code to deploy machine learning models into production
• Design, prototype, build, and implement automation and features to enhance use of ML-based tools
• Conceptualize, implement and test generative AI use cases
• Maintain and troubleshoot existing codebase of ML-based tools