Data Scientist Salary at Arevon BETA

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:

AI/ML Data Engineering Lead (Specialist Master) - SFL Scientific SFL Scientific, a Deloitte Business, practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Strategic Growth Transformation, Transformation Strategy & Design, Technology Strategy & Business Transformation, and AI & Data Strategy. Professionals will serve as trusted advisors to our clients, working with them to make clear data engineering and architecture choices about where to play and how to win - ultimately driving growth and enterprise value. We are hiring an AI/ML Data Engineering Lead to support the design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy and other sectors. Recruiting for this role will end 11/30/2024. Work You'll Do As a Data Engineering Lead, you will lead client engagements around the design and delivery of innovative solutions for complex, R&D-type probl

Job Description Job Description Soaren provides customer-centric alternative lending solutions in consumer markets via proprietary underwriting and loan management systems. With multiple verticals in the financial services industry, Soaren excels in customized portfolio management, software development, customer service, telecommunications, automated application processing, and asset recovery. We have built top-of-the-line proprietary software platforms to underwrite and manage loans, which we strive to continually innovate upon. And that’s where you come in. Soaren is adding a Senior Data Scientist to our Fintech start-up, which is stable, profitable, and rapidly growing. We offer great compensation, benefits, environment, and performance-based rewards. We are currently looking for an experienced Senior Data Scientist with deep technical and statistical knowledge and a proven track record to drive business value using advanced data analysis and machine learning techniques. This positi

The Scientist within the Research Department team will serve as a subject matter expert for various production composite propellants and liners. The individual will conduct and supervise projects involving formulating, raw ingredient testing, lab scale mixing, batch size scale up, propellant property testing, and data reduction/analysis. The position will report to and take direction from the Director of Research but will also work closely with the cross-functional program teams to support production programs. How you will be awarded as a Research Scientist - Rocket Propellants, Explosives and Pyrotechnics •Monday-Thursday work week working four 10-hour days •Off on Fridays •Generous paid time off and Holiday Pay •Medical, Dental and Vision Insurance •401(K), employee assistance programs, flexible spending account Primary Responsibilities: •Apply chemical principles to safely analyze and conduct experiments on propellants, pyrotechnics, and/or explosives to meet program requirements or

Title: Data Engineer Location: Chandler, AZ 85225 - Fully On-Site Overview of Role: As Data Engineer, you will be responsible for helping to scale, implement, and architect new data initiatives across the business. This role will require someone who is eager to learn and work on new technologies. This role is a combination of data engineering, data governance, and data integration. Company Description: Our client is a startup with a few years under their belt that focuses on quality investments to build capital. As their needs expand they are looking to add to the team and hire someone who is dedicated, hungry, and knowledgeable. Role Description: Design and implement scalable, reliable data pipelines using technologies like Apache Spark, Hadoop, and Kafka. Leverage AWS or Azure services (e.g., EC2, RDS, S3, Lambda, Azure Data Lake) for efficient data handling and processing. Develop and optimize data models and storage solutions (SQL, NoSQL) to ensure data quality and accessibility fo

Business Analyst - Gen AI Compensation: DOE Purpose of this project is to build the Gen AI, chat bot feature for Ask KMT-Bulk pick up project, which can then be used by CRC agents to quickly answer customer's questions related to Bulk and Extra Pickup. The Business Analyst is responsible for eliciting, organizing, analyzing, and documenting requirements across project teams, with a focus on leveraging AI (predictive, generative, etc.) solutions. Working closely with data scientists, AI engineers and stakeholders, the Senior Business Analyst plays a crucial role in designing, developing, and deploying AI-powered solutions. The ideal candidate is curious and driven, has strong analytical skills, and the ability to leverage their understanding of AI technologies and its application to solve business problems. PRINCIPAL RESPONSIBILITIES: •Business and Technical requirement elicitation •Ability to write technical stories for AI driven project. •Ability to understand basic API integration co

AI/ML Engineer Long-term Contract Overview Our Fortune 50 Healthcare Insurance client is seeking a highly skilled AI/ML Engineering resource to play a pivotal role in the development, expansion, operation, and maintenance of generative AI solutions. The primary responsibilities include running an experimental framework to determine the optimal prompt engineering approaches, tuning prompts, and collaborating with subject matter experts (SMEs) for evaluations and results. This role requires a deep understanding of evaluating models output in production, particularly when ground metrics are absent, monitoring for issues such as model drift and hallucinations, and optimizing for offline and online metrics. Key Responsibilities Scope, develop, expand, operate, and maintain scalable, reliable and safe generative AI solutions. Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases. Collaborate with SMEs to evaluate prompt effectiveness

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist & Machine Learning Engineer and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with ou