13 product analytics scientist jobs found

Job Description The Role As a Staff Data Engineer within the Marketing Applied Sciences organization, you will be responsible for designing and developing high-quality, well-managed, and reusable data and analytics products (including AI/ML, Data, and Marketing solutions) for applied analytics solutions and insights. You will design, build, and optimize data engineering pipelines and marketing data products, as well as contribute to AI agents, LLM-based solutions, and Ad Ops pipelines, while owning and enforcing data and AI standards and ensuring security and compliance. Additionally, the Data Engineer will contribute to building and maintaining LLM-based AI agents using both platform-native capabilities and custom agent frameworks, integrating them with enterprise-scale AI models and data systems. Agents will include wrappers and UI to seamlessly integrate sub agents. You will also be responsible for monitoring, maintaining, and enhancing data and ML pipelines and...

ROLE SUMMARY This position will assume a global role within the RSV adult vaccines asset, with a focus and direct responsibility for RSV adult vaccine program medical evidence strategy, including RSV vaccine effectiveness and burden studies. This position has a worldwide focus and will include supporting work in Asia. The work will have as its first priority the adult indication of Pfizer's RSV vaccine, RSVpreF. RSVpreF/Abrysvo is licensed in numerous countries globally in adults. The most urgent need will be coordinating evidence generation work across Pfizer to ensure RSV adult studies are conducted appropriately in context of latest information on RSV disease, strategic goals of the vaccine program, and best practices in epidemiological methods. The role also oversees regulatory interactions related to Abrysvo vaccine effectiveness studies in adults. ROLE RESPONSIBILITIES Under the supervision of the Team Lead, Medical Affairs, Adult RSV Vaccine Program, take the...

Title: AI Enterprise Architect Location: US, remote Employment: W2 Length: up to 1 year Must have: Data Science GenAI Tech Stack LLMOps MLOps Python JD: Experience in leading and delivering enterprise AI platform architectural thinking, and its practical application. Experience in the use of conceptual and logical data modelling technologies. Experience in defining and working with information and data regulatory governances. Experience in designing modular, scalable AI architectures for NLP and agent-based systems. Experience in AI engineering such as MLOps, LLMOps, containerization, orchestration, etc. Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. Amazon Bedrock, Amazon Quick Suite and Sagemaker). Understands AI Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in the appropriate AI structure and technology based on business use case and...

RESPONSIBILITIES: OpenKyber has a client in Saint Louis, MO that is seeking a Senior Data Engineer/Data Scientist. Responsibilities: Build Python Pipelines for Promo + POS + Trade Spend Data Develop and maintain Python scripts to ingest and standardize datasets such as: Syndicated POS (e.g., Circana or equivalent), internal shipment/sales, promo calendars, pricing, and trade spend Create durable, reusable data preparation code (feature engineering, calendar alignment, store/customer/SKU hierarchy mapping) Produce clean, analysis-ready datasets to support portfolio impact modeling Build repeatable Python workflows that can run by customer/channel/SKU group and produce comparable outputs across time periods Create -explainability- artifacts (assumptions, controls, sensitivity checks) so results are trusted Deliver decomposition views that separate -true incrementality- from mix effects Produce standardized tables/data products for downstream BI and reporting...

Title: AI Enterprise Architect Location: US, remote Employment: W2 Length: up to 1 year Must have: Data Science GenAI Tech Stack LLMOps MLOps Python JD: Experience in leading and delivering enterprise AI platform architectural thinking, and its practical application. Experience in the use of conceptual and logical data modelling technologies. Experience in defining and working with information and data regulatory governances. Experience in designing modular, scalable AI architectures for NLP and agent-based systems. Experience in AI engineering such as MLOps, LLMOps, containerization, orchestration, etc. Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. Amazon Bedrock, Amazon Quick Suite and Sagemaker). Understands AI Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in the appropriate AI structure and technology based on business use case and...

Summary: Meta Infrastructure Product Management Leaders work with cross-functional teams of engineers and data scientists in both Infra and across Meta's Product Groups to build products and conduct critical problem solving in service of our business goals. We are looking for extremely entrepreneurial Product Management Leaders to help innovate and execute product initiatives across the company and value moving quickly. Required Skills: Infrastructure Product Manager (Leadership) Responsibilities: Proactively identify the important problems to solve (e.g. competitively, strategically, for customers, and in support of company goals) Build a coherent strategy and roadmap for addressing these issues with measurable objectives Facilitate the flow of information between everyone involved and create consensus around a vision, priorities and decisions Drive, track, and document progress against roadmaps Define a high standard of quality for product area and...

Required YOE: 10+ Years (NON-NEGOTIABLE) REQUIRED: Hands-on experience with Ranking & Recommendation Algorithms Summary: The main function of a Ranking Data Scientist is to produce innovative improvements to machine learning models by leveraging exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Leverage computer vision, feature extraction, and machine learning algorithms to determine the most important aspects that drive shareability of content. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze...

Data Scientist Measurement Framework Developer (Statistical & Causal Inference) Location: Remote (Candidates must be located in EST or CST time zones ) Duration: 6-month W2 Contract Pay Rate: $50 $62/hour depending on experience Employer: OpenKyber (supporting a leading enterprise retail client) About the Role OpenKyber is supporting a major enterprise retail organization in hiring a Data Scientist with strong expertise in statistical inference and causal analysis to develop scalable measurement frameworks for enterprise solutions. This role is ideal for someone passionate about experimental design, causal inference, and data-driven decision making , who enjoys building robust frameworks to measure product and business impact. Key Responsibilities: Design and implement measurement frameworks for solutions deployed in production environments. Apply statistical inference and causal methods such as A/B testing, propensity score matching, and instrumental variables....

Required YOE: 10+ Years (NON-NEGOTIABLE) REQUIRED: Hands-on experience with Ranking & Recommendation Algorithms Summary: The main function of a Ranking Data Scientist is to produce innovative improvements to machine learning models by leveraging exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Leverage computer vision, feature extraction, and machine learning algorithms to determine the most important aspects that drive shareability of content. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze...

OpenKyber?s direct client in St. Paul, Minnesota is looking for an AI Application Developer (REMOTE). Description: The Information Technology Division (ITD) is seeking an experienced AI Application Developer with ASP.NET development skills and hands-on experience in Azure AI Services and Ollama. This role is for staff augmentation of the Development and Support Services team and will participate in designing and implementing AI-based solutions and enhancements to improve efficiency of court operations. The ideal candidate will have a solid understanding of Semantic Kernel, AutoGen, and modern AI design patterns such as Retrieval-Augmented Generation (RAG), vector search, semantic search, MCP (Model Context Protocol), and Agent AI. You will design, build, and deploy AI-powered web applications that combine cloud-hosted and local LLM inference capabilities for scalable, secure, and context-aware user experiences RESUME MUST CLEARLY DEMONSTRATE THE FOLLOWING: Required Qualifications:...

OpenKyber?s direct client in St. Paul, Minnesota is looking for an AI Application Developer (REMOTE). Description: The Information Technology Division (ITD) is seeking an experienced AI Application Developer with ASP.NET development skills and hands-on experience in Azure AI Services and Ollama. This role is for staff augmentation of the Development and Support Services team and will participate in designing and implementing AI-based solutions and enhancements to improve efficiency of court operations. The ideal candidate will have a solid understanding of Semantic Kernel, AutoGen, and modern AI design patterns such as Retrieval-Augmented Generation (RAG), vector search, semantic search, MCP (Model Context Protocol), and Agent AI. You will design, build, and deploy AI-powered web applications that combine cloud-hosted and local LLM inference capabilities for scalable, secure, and context-aware user experiences RESUME MUST CLEARLY DEMONSTRATE THE FOLLOWING: Required Qualifications:...

Position Objective: Provide services as a Senior Advisor in support of the overall functions of the Office of the Director (OD) within the National Institutes of Health (NIH). Duties and Responsibilities: Provide recommendations and guidance to support NIH's goal to reduce/ replace the use of animals in biomedical research, drug development, and regulatory testing. Develop policies that bridge the transition to non-human research models. Create strategies to implement policies, anticipate scientific/ regulatory challenges, and bring the intra- and extra-mural communities into alignment with NIH's scientific goals involving novel alternative methods. Build community engagement to accelerate a transition toward human-relevant, non-animal methods. Work with the research community, regulatory scientists, and policymakers to identify barriers, develop solutions, and advance technologies that modernize science and improve public health outcomes...

What We Can Achieve Together The Nature Conservancy’s Alaska chapter is undergoing a period of growth as new positions are being staffed, given the importance of Alaska to TNC’s global goals. This is an opportunity to work closely with the Director of Development to streamline processes and systems, ensuring that Alaska’s development team can do its best work in support of this globally significant region. The Development Operations Specialist will work with the Director of Development to enhance or institute training, documentation, and change management related to development operations systems and practices. The role stays current on market trends and best practices in development operations and adapts processes to improve efficiency, effectiveness, and donor stewardship, grounded in a strong understanding of organizational policies and procedures. This position serves as the operational backbone of the Alaska development team, ensuring strong systems, disciplined...