With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. **About the Role:** The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a high-growth company. As a Product Data Scientist at Confluent, you will be a key player in helping define the experiences and driving product strategy at Confluent. You will collaborate with our Product leadership team and cross-functional partners across the Data organization. You will use data and analysis to identify and solve product developments challenges, unlocking growth of our product adoption funnel. This role requires a strong blend of technical skills, strategic thinking and communication skills to influence product strategy and investment decisions. **What You Will Do:** + Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives. + Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders. + Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps. + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. + 3+ years of experience in Product Data Science/Analytics + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Exceptional problem solving skills and analytical skills + Strong proficiency in data manipulation with data querying languages (e.g. SQL). Proficiency in scripting languages (e.g. Python) preferred. + Proficiency in data visualization and building dashboards with tools such as Tableau + Experience and familiarity with A/B testing and experiment best practices + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Experience and knowledge of causal inference, machine learning and other advanced analytical methods + Experience in SaaS/Product-led Growth companies **Come As You Are** At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $139,230 - $163,620, an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) . Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees. #LI-Remote

At Cardinal Health's **Artificial Intelligence Center of Excellence (AI CoE)** , we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced **Sr. Data Scientist** to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **Why Join Cardinal Health's AI CoE?** + Make a Real Difference: Contribute to cutting-edge solutions that improve patient care, enhance healthcare operations, and drive positive change in the industry. + Work with a Passionate Team: Join a team of highly skilled data scientists who are committed to pushing the boundaries of AI in healthcare. + Grow and Develop: Access opportunities for professional growth, mentorship, and development within a dynamic and innovative environment **Responsibilities:** + Lead the Development and Support of Innovative AI solutions: You will be responsible for designing, implementing, scaling and supporting sophisticated AI solutions that address key business challenges within the healthcare industry. This will involve leveraging your expertise in areas such as: + Machine Learning (ML): Developing advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Generative AI: Exploring and leveraging the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + RAG Technologies: Building robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: You will work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. You will be a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and Mentor a Team of Data Scientists and ML Engineer: You will provide technical guidance, mentorship, and support to a team of skilled geographically distributed data scientists and ML Engineers, fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace an AI-Driven Culture: You will foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **Qualifications:** + Proven AI/ML Expertise: Minimum of 5 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions. + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases. + Healthcare Data Acumen: Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations. + Cloud Computing Expertise: Experience working with cloud platforms like Google Cloud Platform (GCP), Azure, or AWS for data processing, model training, evaluation, monitoring, deployment and support. + Leadership and Communication: Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences. + Strong Technical Skills: Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools. + CI/CD Automation: Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments. + REST API Development: Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems. + Software Engineering Best Practices: Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations. + Data Engineering: Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling. + Agile Methodologies: Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices. + DevSecOps: Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle. + 8-12 years of experience, preferred + Bachelor's degree in Computer Science or related field, or equivalent work experience, preferred **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with myFlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/23/2024 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidates geographical location, relevant education, experience and skills and an evaluation of internal pay equity. #LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)

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Data Scientist Jobs in Helena, MT

Data Scientist For Financial Crime Compliance Management UsNovember 16, 2024

Senior Data Scientist Nlp Deep Learning Generative AiNovember 15, 2024

Sr Data ScientistNovember 14, 2024

Data Scientist Product AnalyticsNovember 8, 2024

Principal Data ScientistNovember 4, 2024

Principal Data Scientist Remote EligibleNovember 3, 2024

Senior Data ScientistNovember 2, 2024

Data Scientist ProductOctober 27, 2024

Senior Data Scientist Ai CoeOctober 27, 2024

Lead Data Scientist Nlp Computer Vision FocusOctober 27, 2024