• Own the end-to-end product marketing strategy for Live Query and Alteryx’s core data connectivity capabilities • Develop persona-specific narratives for IT architects, data engineers, and CDAO organizations • Partner with Product Management to shape the data connectivity roadmap narrative • Build launch plans, enablement materials, and customer content for new connectivity capabilities • Monitor the competitive landscape across data connectivity, ELT/ETL, and cloud data integration • Define and maintain the positioning and messaging framework for Alteryx’s OCR Tools and Intel Suite • Develop use-case-driven content—including demos, solution briefs, and customer stories • Partner with Solutions PMM to develop vertical-specific messaging and content • Own the go-to-market strategy for Alteryx’s Data Products and Connect capabilities • Develop messaging that resonates with both data producers and data consumers • Identify customer champions and develop case studies that showcase how Data Products and Connect have transformed enterprise data accessibility and analytical productivity • Maintain a deep, current understanding of the cloud data platform and data integration competitive landscape.

• Develop, validate, deploy, and monitor machine learning and generative AI models to deliver actionable, scalable insights and solutions • Design and implement generative AI solutions using LLMs, prompt engineering, RAG pipelines, and fine-tuning strategies. • Analyze complex datasets by performing data preparation, transformations, exploratory analysis, and feature engineering to uncover trends, patterns, and actionable insights that support advanced analytics and model development • Design and implement end-to-end data and ML pipelines (including model training, evaluation, deployment and monitoring within production environments), while partnering with data engineering to continuously enhance and maintain MLOps tools and processes. • Monitor and evaluate model performance using both quantitative metrics and human feedback loops. • Collaborate with business stakeholders to translate business needs into AI-driven solutions • Develop and deliver clear visualizations, dashboards, and reports that effectively communicate insights and drive business understanding and optimization. • Ensure data quality, model and data governance standards, and responsible AI practices are met, including bias mitigation, security and privacy. • Contribute to AI education, knowledge sharing, and innovation, staying current with emerging trends and translating them into practical applications.

Role Description Premier Research is looking for an Associate Principal Data Scientist (Data Manager) to join our Clinical Data Sciences team. You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success. We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires. Your ideas influence the way we work, and your voice matters here. As an essential part of our team, you help us deliver the medical innovation that patients are desperate for. Join us and build your future here. What You’ll Be Doing: - Interacts with internal and external project team members (including external data vendors) for multiple projects, as appropriate. - Actively contributes to study team discussions, standing meeting agendas, meeting attendance and review and/or documentation of minutes. - Facilitates clinical database development to execute collection, receipt, reporting, review and archiving of quality clinical trial data. - Includes eCRF planning discussions, coordination of eCRF review, planning and identification of system and protocol-specific edit checks, coordination and proper execution of User Acceptance Testing, and coordination, planning and development for external data sources as required. - Participates in early study team planning of data risk assessment and continuous evaluation of risks throughout course of study. - Offers insight and mitigates risks of data loss. - Communicates with assigned data team members to ensure tasks are coordinated and executed as per study plans and timelines as appropriate. - Ensures training of study-specific protocol requirements as appropriate. - Identifies and communicates gaps in training and supports training of data reviewers. - Responsible for oversight of study budget applicable to functional area. - Identifies and communicates potential out of scope activities to project team. - Works with study team to provide needed information for re-scoping when applicable. - Responsible for execution of all tasks as aligned with SOPs, department guidelines and data standards. - Reviews and contributes to evaluation, development and implementation of SOPs and department guidelines. - May assist in leading departmental initiatives and process improvements when required with support. Qualifications - Bachelor’s Degree preferably in Life Science required and Post Graduate preferred. - 8-12 years mastery in Data Management or relevant industry experience, with at least 5 years’ experience leading studies. - Experience working within several clinical data management systems and in-depth knowledge of at least two, preferably Medidata Rave or DataLabs EDC. - Knowledge of data standards and data modeling. - Knowledge of statistical principles and analysis considerations. Company Description Premier Research is proud to be an equal opportunity employer that is compliant with all federal guidelines. All qualified applicants will receive equitable consideration without regard to race, color, religion, sexual orientation, gender identity, national origin, disability or veteran status.

Role Description As a Senior Data Scientist in Research and Development, your work will have a direct impact on efficient, sustainable food manufacturing solutions. This role will work collaboratively in multidisciplinary teams to develop complex proofs of concept, minimum viable products, and scale fully deployed solutions across multiple manufacturing facilities. In this role, you will create complex predictive and computer vision models that help deliver significant value to the company's businesses. - Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets. - Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope. - Take ownership for the entire data science workflow that includes a well-defined, complex project scope, exploratory data analysis, model development, deployment and monitoring. - Continuously seek out best practices and develop skills. - Create scalable structures to accelerate deployment to multiple facilities. - Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. - Other duties as assigned. This position is preferred to work from the Wayzata, MN headquarters location but could also work remote from a home-office location anywhere in the United States. Qualifications - Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field; or equivalent practical experience. - Minimum of 4 years of relevant professional experience, OR 3 years experience with a Master’s degree, OR 2 years experience with a Ph.D. in a related discipline. - Proficiency in Python programming. - Hands-on experience developing computer vision models for image classification, object detection, and segmentation. - Experience with computer vision tools, both traditional and deep learning, such as OpenCV, PyTorch, etc including transfer learning and fine-tuning deep learning models. - Experience deploying ML models using a containerized deployment framework (Docker, Podman, etc). - Proven ability to develop proofs of concept and scale them into full production solutions. - Demonstrated ability to present complex concepts to non-technical audiences. Requirements - Master's degree or PhD in data science, computer science, math, engineering or related field. - Solid understanding of Computer Vision fundamentals. - Knowledge of MLOps practices for productionizing vision models. - Experience scaling a production solution to multiple sites. - Experience working with continuous integration and delivery (CI/CD) pipelines. - Experience working with AWS. - Experience in manufacturing, supply chain, or agriculture. Benefits - The expected annual salary for this position is $120,000-$140,000. - Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. - This position is eligible for a discretionary incentive award, dependent upon company performance and your personal performance. - Comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. - Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.