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Marketing Engine Data Scientist
Marketing Engine Data ScientistZoetis • USA, New Jersey, Parsippany-Troy Hills
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Marketing Engine Data Scientist

Marketing Engine Data Scientist

Zoetis • USA, New Jersey, Parsippany-Troy Hills
8 days ago
Job type
  • Full-time
Job description

Role Overview

The Marketing Engine Data Scientist role is responsible for analyzing complex data sets to deliver actionable insights that drive strategic business decisions. This role requires strong analytical skills, an aptitude for translating data into business value, and the ability to collaborate across diverse functional teams-including sales, marketing, business intelligence, and digital organizations.

To succeed, you'll need a natural curiosity and a thirst for learning, enabling you to quickly understand Zoetis's business model and data infrastructure. You should be comfortable connecting business context to technical solutions, and passionate about solving critical business challenges through advanced analytics. The ideal candidate is self-motivated, detail-oriented, and possesses strong independent problem-solving skills. You'll communicate findings clearly to both technical and non-technical stakeholders, and thrive in a dynamic environment with shifting priorities.

Key Responsibilities

Campaign Targeting & Analysis

  • Partner with digital marketing and brand managers to define and segment target audiences for campaigns.
  • Design, extract, and refine campaign lists using advanced data science and Gen AI techniques.
  • Analyze campaign performance and outcomes, delivering actionable recommendations to maximize ROI and optimize future targeting strategies.

Stakeholder Collaboration

  • Serve as a trusted advisor, translating technical findings into clear, actionable business insights.
  • Present complex analyses to both technical and non-technical audiences, fostering a culture of data-driven decision-making.
  • Build strong, collaborative relationships across marketing, sales, and other functional teams.
  • Advanced Analytics & Model Development

  • Develop and implement predictive models, segmentation, and time series analyses to support marketing strategies.
  • Apply Gen AI frameworks and large language models to drive personalization and campaign effectiveness.
  • Continuously monitor and refine models to ensure accuracy, relevance, and business impact.
  • Technical Leadership

  • Utilize Python, PySpark, Databricks, Gen AI frameworks, and SQL for data processing, analysis, and modeling.
  • Collaborate with data engineering teams to ensure robust, scalable data pipelines and infrastructure.
  • Champion best practices in code quality, reproducibility, documentation, and version control (Git).
  • (Bonus) Apply software engineering skills to streamline analytic workflows and deploy solutions.
  • Education & Experience

  • Advanced degree in Data Science, Computer Science, Engineering, or a related discipline.
  • 4+ years' experience in analytics, data science, or decision support, ideally in commercial or marketing environments.
  • Proven ability to collaborate with business stakeholders to deliver actionable insights and drive measurable results.
  • Hands-on experience with campaign analytics, predictive modeling, Gen AI / LLMs, and stakeholder engagement.
  • Familiarity with data engineering concepts and cloud analytics platforms (Databricks, etc.) is a plus.
  • Exceptional interpersonal, written, and verbal communication skills.
  • Technical Skills

  • Programming : Expert in Python and PySpark; strong SQL skills; experience with Databricks.
  • Gen AI : Practical experience with Gen AI frameworks, tools, and large language models for data analysis and personalization.
  • Version Control : Proficient with Git for collaborative code development and management.
  • Data Engineering : Experience building and maintaining data pipelines; knowledge of cloud data platforms.
  • Analytics : Skilled in predictive modeling, segmentation, time series analysis, and Gen AI / LLM applications.
  • Stakeholder Engagement : Strong ability to communicate complex technical concepts to non-technical audiences.
  • Software Engineering (Preferred) : Experience with code versioning, testing, and deployment.
  • PHYSICAL SKILLS REQURIEMENTS

  • Office based role, Hybrid
  • Prolonged times of sitting
  • The US base salary range for this full-time position is $126,000 - $181,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the base pay target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

    This position is also eligible for short-term incentive compensation

    This position is also eligible for long-term incentives

    In addition to compensation, Zoetis offers a comprehensive benefits package that supports the physical, emotional, and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning on day one, a 401K plan with a match and profit-sharing contribution from Zoetis, and 4 weeks of vacation.

    Visit zoetisbenefits.com to learn more.

    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.

    About Zoetis

    At Zoetis , our purpose is to nurture the world and humankind by advancing care for animals. As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock. We know our people drive our success. Our award-winning culture, built around our Core Beliefs, focuses on our colleagues' careers, connection and support. We offer competitive healthcare and retirement savings benefits, along with an array of benefits, policies and programs to support employee well-being in every sense, from health and financial wellness to family and lifestyle resources.

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    Data Scientist Marketing • USA, New Jersey, Parsippany-Troy Hills

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