VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. Key Responsibilities - Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization. - Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting. - Ensures compliance with VA data governance, security, and privacy standards.

• Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights. • Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making. • Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively. • Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes. • Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement.

Job Description Zoetis is seeking a Senior Data Scientist to support global pharmacovigilance signal management supporting the team to translate complex safety information into clear, decision-ready insights for PV leadership and key stakeholders. This role will help strengthen routine safety monitoring, improve the consistency and usability of PV insights, and enable timely, high-quality communications aligned with business needs. The role will also partner with internal digital/automation teams to expand analytics capabilities and improve how Zoetis synthesizes animal health data to better understand product performance in real-world use. Duties and Responsibilities include but not limited to: Advance signal detection and early alerting by leveraging new technologies to reduce false positives and strengthen trust in results through reproducible analysis approaches and controls. Standardize signal review outputs (evidence summaries, trend context, case-series characterizations) and ensure consistent governance across diverse data sources. Maintain end-to-end signal tracking and lifecycle documentation so conclusions, decisions, and actions remain transparent and traceable. Continuously improve PV data quality (completeness, consistency, de-duplication, coding, timeliness) and deliver “easy-to-digest” views (dashboards, scorecards, automated reports) to increase transparency into safety trends and data reliability. Enable leadership-ready insight delivery through a regular cadence of updates and ad hoc escalations, with summaries focused on what changed, why it matters, and what’s next; contribute to structured quarterly reviews for key products. Partner with PV leadership and digital/automation teams to evolve PV technology and signal management capabilities—translating needs into clear requirements and acceptance criteria, supporting testing and adoption (training, feedback loops), and ensuring continuity with minimal disruption. Education (Recommended) - MS, PhD in life sciences/DVM with 7+ years with applied data analytics and handling and interpretation of multimodal data - MS or PhD in Data Science, Biostatistics, Epidemiology, Computer Science, or a related quantitative field with experience or training in veterinary/animal health, safety surveillance, or regulated life sciences. Required / strongly preferred - Senior-level experience delivering analytics in a quality-controlled environment (health, life sciences, regulated industry, or comparable). - Demonstrated success producing leadership-facing analytics deliverables (dashboards, recurring review materials, executive summaries). - Strong technical skills in Python and/or R, SQL, reproducible workflows (e.g., Git), and data visualization tools (e.g., Power BI/Tableau). Nice to have - Experience supporting enterprise system upgrades/migrations and analytics comparability/validation work. - Familiarity with pharmacovigilance concepts and signal management workflows. The US base salary range for this full-time position is $93,000 - $150,000. 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. Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications. 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.

Role Description This role is seeking an AI Data Engineer who can serve as the critical bridge between the data warehouse, AI-driven analytics capabilities, and the operational workflows that power the business. This role is part data engineer, part data scientist, part prompt engineer, and part automation architect. - Understand where and how to pull data from the database to answer specific business questions. - Train and configure AI tools (Claude, Gemini) to automate analysis at scale. - Build AI agents that eliminate repetitive operational work across the organization. - Identify processes that can be automated and translate them into working solutions. Key Responsibilities - Query, extract, and transform data from the data warehouse (BigQuery) to answer complex, multi-dimensional business questions spanning inventory, organic sales, traffic, sponsored ads, and DSP. - Understand the full schema of the data warehouse — which tables hold what data, how they relate to each other, and what joins are required for accurate cross-domain analysis. - Partner with internal teams to identify the most common and highest-value analytical questions clients and team members need answered. - Design and build automated data pipelines and queries that feed AI tools with clean, structured, and contextually appropriate data. - Develop and refine Claude Skills and Gemini Gems that enable conversational AI to conduct reliable eCommerce data analysis. - Collaborate with prompt engineers to document best practices for data analysis (statistical methods, benchmarking approaches, trend identification). - Continuously improve and validate AI-generated outputs against manual analysis to ensure accuracy and trustworthiness. - Help automate recurring analytical workflows into chatbot-style interfaces that the broader team can use without SQL knowledge. - Identify operational bottlenecks and repetitive tasks across the business, then design and deploy AI agents to automate them. - Build, test, and maintain AI agents using Claude and Gemini, ensuring they perform reliably and are adopted by the team. Qualifications - Strong proficiency in SQL — complex queries, multi-table joins, window functions, CTEs. - Working proficiency in Python for data manipulation and analysis (Pandas, NumPy, or similar). - Familiarity with JavaScript and JSON file structures. - Hands-on experience with Google BigQuery. - Experience working with or developing for large language models — specifically Gemini and/or Claude. - Hands-on experience building and managing AI agents that automate business processes and routine tasks. - Strong understanding of data warehousing concepts: schema design, table relationships, data modeling. - Ability to translate business questions into precise, efficient queries and then into AI-readable instructions. - Enough business acumen and operational awareness to independently identify automation opportunities. - Familiarity with digital commerce or eCommerce data (sales, advertising, inventory, traffic metrics). Nice-to-Have - Experience with Amazon Ads API data, DSP reporting, or marketplace analytics platforms. - Background in data science — statistical analysis, regression, forecasting, segmentation. - Experience building internal tools, dashboards, or chatbot interfaces. - Prompt engineering experience with structured outputs (JSON mode, tool use, system prompts). - Experience with MCP (Model Context Protocol) servers, API integrations, or connecting AI tools to external data sources. Working Conditions & Expectations - Must have significant overlap with EST business hours. - Must be available via Slack, WhatsApp, and email during working hours. - This is a full-time role — no secondary employment during the engagement. - The team is looking for a long-term team member. - A professional reference that can be contacted is required. - Success in this role leads to increased responsibility, bonuses, and potential conversion to a full-time employee with benefits. Reports To Technology / Data Leadership Employment Type Full-Time Contractor (long-term).