Statistical Modeler Salary at Havi BETA

We have partnered with our client in their search for a Data Engineer/Analyst. Responsibilities Develop and maintain scalable data pipelines and ETL processes. Design, build, and optimize data models and databases. Perform data analysis, mining, and statistical modeling. Create and maintain data visualizations, dashboards, and reports. Ensure data quality and implement governance practices. Mentor junior team members. Other duties as assigned. Skills Required Proficiency in SQL, Python, or Java, and experience with relational and NoSQL databases. Experience with big data technologies, cloud platforms, orchestration tools, and data warehousing concepts. Knowledge of statistical analysis, machine learning, and data visualization tools is a plus. Strong problem-solving skills and ability to work with large datasets. Education& WorkExperience Bachelor's or Master's in Computer Science, Data Science, Statistics, or related field. Experience as a Data Engineer, Software Engineer, Data Analys

Quantitative Developer - Cash Equities A leading global hedge fund is seeking a Quantitative Developer to join its high-performing Cash Equities team. The role involves developing and implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that drive trading decisions in cash equities. Optimise strategy performance through innovative model development. Partner with traders to analyse market dynamics, interpret valuations, and design next-generation models and analytics tailored to cash equity markets. Contribute to the high-level architecture and optimisation of C++ and Python-based models used in various equity strategies. Work closely with research teams to continuous

Description Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost effici

Department: Research Support, Kellogg School of Management We seek applicants who want to apply to a Ph.D. program in Economics, Accounting, Finance, Marketing, Strategy, Operations Research, or a related field in the pursuit of an academic research career. If selected, you will be offered a one-year appointment, with the ability to renew for a second year based on performance. The ideal candidate will have: (i) very strong data management and computer programming skills; (ii) exposure to applied statistical models; and, (iii) some prior experience working on research, such as an independent thesis or as a research assistant. Prior coursework in Economics is a plus, but not necessary; in fact, this position is well suited for someone who has strong data management skills, but wants more exposure to Economics research before graduate school. You must have completed at least a bachelor's degree before the employment start date. Your application must include a cover letter. In that letter

LinkedIn Must No H1b Senior Computer Vision Data Scientist WALMART REMOTE RATE: $65-70/hr C2C **RESUME OF PERSON ON TEAM ATTACHED** This is part of the Computer vision team. Candidates must have Computer Vision/ Machine Learning to be subbed. 100% Remote •3 to 5 years of industrial experience on computer vision or machine learning •Python •5+ years Data Science We're looking for an incredible Senior Computer Vision Data Scientist to create computer vision models that will power our massive fleet of robot inventory scanners. Our autonomous robots take millions of pictures every day and your computer vision solutions will help identify when products are out of stock, where items are located, if prices are correct, and so much more. Check out this press release to get a better idea about the technology you will directly be working on. What you'll do: ? Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processi

By clicking the Apply button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takedas Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. **Job Description** **About BioLife Plasma Services** BioLife Plasma Services, a subsidiary of Takeda Pharmaceutical Company Ltd., is an industry leader in the collection of high-quality plasma that is processed into life-saving plasma-based therapies. Some diseases can only be treated with medicines made with plasma. Since plasma cant be made synthetically, many people rely on plasma donors to live healthier, happier lives. BioLife operates 220+ state-of-the-art plasma donation centers across the United States. Our employees are committed to improving the quality of life for patients and ensuring that the donation process is safe, easy, and rew

Company: Oliver Wyman Description: Oliver Wyman Actuarial - M&A Actuarial Analyst - US Life Remote type: Hybrid Locations: Flexible (preference for New York, Chicago, Boston) Time type: Full time Company Overview The Actuarial Consulting Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing practice with offices across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of risk: healthcare, life and annuity, and prop

Description Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost effici