4 jobs found

The Department of Academic Affairs invites applications for Institutional Research Analyst The Institutional Research Analyst provides campus-wide support for the collection, maintenance, analysis, interpretation, reporting, and display of institutional data and statistics to be used in planning, budgeting, assessment, decision-making, and compliance. Supervised directly by the Associate Provost for Institutional Effectiveness and works closely with the Provost’s office, Information Services, faculty, staff, and student employees. Contributes to the design and maintenance of data models that support institutional data analytics. Works with stakeholders to design and execute research and statistical projects. Essential Duties, Tasks, and Responsibilities: Works with stakeholders to design, plan, and execute research and statistical projects.  Responds to ad hoc data requests from internal and external stakeholders.  Supports the design,...

Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web Services (EC2, S3, SageMaker,...

Slack is looking for expert data engineers to join our Insights product team. You will be working cross-functionally with product management, design, business domain experts, analytics, and engineering teams to build insights products for Slack’s customers. In this role you will design, implement and scale data pipelines that transform billions of records into actionable data models that enable data insights products. You have deep technical skills, be comfortable contributing to a nascent data ecosystem, and building a strong data foundation for the company. You are a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. What you will be doing Translate business requirements into data models that are easy to understand and used by different disciplines across the company Design, implement and build pipelines that deliver data with measurable quality under the SLA Partner with product management, business domain...