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).

DIRECTV is transforming its video portfolio across Signature, BYOD, DTVi, and Genre Packs within an increasingly dynamic and competitive subscription landscape. Accurate, forward-looking subscriber forecasting is critical to enterprise planning, marketing investment, product strategy, and financial decision-making. The Principal, Advanced Analytics – Subscriber Forecasting is the senior leader responsible for architecting and governing DIRECTV’s end-to-end subscriber volume forecasting framework for designated products. This role owns the science behind forecasting Gross Adds, Churn, Reconnects, and Migrations—across run-rate expectations and scenario-based overlays. This leader combines deep expertise in time-series forecasting, survival modeling, and advanced statistical methods with automation and AI enablement capabilities to modernize DIRECTV’s forecasting ecosystem. Key Responsibilities: Enterprise Subscriber Volume Forecasting - Lead forecasting methodologies for Gross Adds, Churn, Reconnects, and Migrations across DIRECTV’s video portfolio. - Develop integrated forecasting frameworks that reconcile acquisition inflow, tenure-based churn dynamics, reconnect behavior, and product migrations. - Produce baseline (run-rate) forecasts and overlay models reflecting strategic initiatives, competitive shifts, seasonality, and macro impacts. - Ensure forecasts are transparent, defensible, and aligned across Marketing, Finance, Product, and Executive Leadership. Advanced Forecasting Methodologies - Apply and evolve advanced forecasting techniques, including: - Time-series modeling (ARIMA, SARIMA, state-space models) - Hierarchical forecasting frameworks - Survival analysis and hazard modeling for churn dynamics - Cohort-based and tenure-based decay modeling - Machine learning approaches (GBM, XGBoost, LSTM, ensemble methods) - Design migration models to capture movement across packages, platforms, and pricing constructs. - Incorporate industry trend signals, competitive dynamics, and structural shifts into forecasting assumptions. - Continuously test, backcast, and refine models to improve accuracy and reduce bias. Tenure Dynamics & Behavioral Modeling - Develop survival curves and hazard functions to model churn behavior across tenure cohorts. - Analyze lifecycle inflection points and structural breakpoints affecting retention and reconnect rates. - Build cohort-level forecasting models that capture evolving subscriber behavior over time. - Translate behavioral dynamics into actionable forecasting assumptions for enterprise planning. Scenario Planning & Overlay Strategy - Construct scenario frameworks that quantify impacts from: - Pricing actions - Promotional intensity - Competitive entry or disruption - Packaging shifts - Product transitions - Lead sensitivity analysis and stress testing to inform executive decision-making. - Provide structured, data-driven recommendations around forecast risks and opportunities. Automation & AI Enablement - Architect automated forecasting pipelines that reduce manual intervention and increase model scalability. - Build reproducible workflows using Python, SQL, and modern data orchestration tools. - Integrate AI and machine learning into forecasting workflows to enhance pattern detection, anomaly identification, and dynamic recalibration. - Develop self-service dashboards and monitoring systems that track forecast accuracy and model drift. - Modernize legacy forecasting processes into an AI-enabled forecasting ecosystem. Cross-Functional Leadership & Governance - Serve as the enterprise authority on subscriber volume forecasting methodology. - Partner closely with Finance, Marketing, Product, Strategy, and Operations to align on assumptions and forecast outputs. - Establish governance standards for forecasting accuracy, version control, and scenario documentation. - Communicate complex modeling outputs to senior executives in a clear and structured manner. Qualifications: - 5 – 7 years required, 7+ years desired experience in forecasting, advanced analytics, econometrics, or quantitative modeling. - Deep expertise in time-series forecasting, survival analysis, cohort modeling, and statistical inference. - Demonstrated experience forecasting subscription-based product volumes. - Strong proficiency in Python, SQL, and advanced analytics libraries - Experience building automated modeling pipelines and scalable analytical systems. - Familiarity with AI-driven forecasting enhancements and ensemble modeling approaches. - Strong executive communication skills and ability to defend modeling assumptions. - Advanced degree in Statistics, Economics, Data Science, Applied Mathematics, or related quantitative field preferred. Successful Profile: A successful Principal, Advanced Analytics – Subscriber Forecasting at DIRECTV: - Brings scientific rigor and technical depth to enterprise forecasting. - Anticipates structural shifts before they materially impact performance. - Balances statistical sophistication with practical business applicability. - Modernizes forecasting through automation and AI integration. - Establishes DIRECTV as a best-in-class organization in subscription volume forecasting science. May require a background check due to job duties requiring routine access to DIRECTV and DIRECTV customer’s proprietary data. Qualified applicants with arrest and conviction will be considered for employment in accordance with local ordinances and state law. This is a remote position that can be located anywhere in the contiguous United States. #LI-Remote A career with DIRECTV comes with big rewards: DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location. The Base Salary range displayed below reflects the minimum and maximum target salary for each of DIRECTV's 4 (four) US Labor Market Zones. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. DIRECTV WAGE ZONES: $134,363 - $244,036 Low (N1): $134,363 - $201,595 Mid (N2): $141,435 - $212,205 High (N3): $155,579 - $233,426 Top (N4): $162,650 - $244,036 Click HERE to review information on some of the largest Designated Market Areas (DMAs). Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together, it represents a pretty impressive total compensation package. Apply today! Fair Chance Ordinance Notice for Los Angeles County applying for jobs at DIRECTV Compliance Notice Regarding Use of Automated Decision-Making Tools in Hiring Process

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Act as an individual contributor, providing project oversight and guidance to Decision Scientists, and supporting the Decision Science Manager in executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will engage in consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Responsible for mentoring and acting as a force multiplier in support of Decision Scientists, with a focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products. 2. Lead on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. 3. Foster communication and partnership across multiple levels of the organization including engagement with LOB leaders and senior managers. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals. 4. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable. 6. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices. 7. Represent assigned business group in various forums, work streams, and executive reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills 2. Bachelor’s degree or equivalent education and 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience 3. 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results 4. Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights 5. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact 6. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact 7. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact 8. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness 9. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) Preferred Qualifications: 1. Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. 2+ years of analytics management experience with a diverse project focus and demonstrated results General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work