• Build and maintain machine learning models that predict the infrastructure cost impact of A/B experiments, translating experimentally observed signals (e.g., request volume changes) into business and system metrics (e.g. projected annualized costs) • Drive adoption of infrastructure metrics within the experimentation community through analysis, consultation with experiment owners, documentation, and training • Partner with platform teams (Observability, Experimentation Platform) to improve the quality and coverage of infrastructure usage data feeding our models • Extend our measurement framework to new metrics (e.g., latency) and new experiment types (e.g., infrastructure canary tests) • Champion an infrastructure lens within the broader experimentation community, helping shift culture toward reasoning about the full ROI and infrastructure impact of experiments • Connect with the larger analytics and experimentation communities at Netflix to bring visibility to our work and learn from others

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Arity is a part of the Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers' evolving needs. We collect and analyze enormous amounts of data in order to provide cutting-edge solutions to companies invested in transportation. The Analytics Team Advertising data science team in Arity empowers the intelligence and efficiency of Arity Marketing Platform, which enables marketers to find their best customers wherever they are in their journey. Our goal is to empower marketers to reach prospects and display relevant messaging based on how, when, and where they drive. The team is responsible for optimizing the in-house marketing platform for advertisers and publishers, as well as our revenue, throughout all funnels. To achieve this, not only do we need to look for inefficiencies on the platform including individual campaigns, but also how to grow and scale the platform to gain more revenue. This means we need to find a cost-effective way to rapidly deploy, test and iterate algorithms on our platform. This team is also fully integrated within a cross-functional scrum structure including product owners, software engineers, ad operation team, and other talents to collaborate with to achieve the same business goals Where good people build rewarding careers. This Summer 2026 internship is for students currently enrolled in a graduate degree program. This role is responsible for building a proof-of-concept business solution using advanced reinforcement learning in Analytics and Data Science. This is a highly dynamic position that requires a great degree of flexibility, analytic agility and the ability to rapidly adapt to meet business need, new technologies and data sources. If you like the challenge of working on state-off-the-art techniques in advertising, this is the perfect job for you. Job Description Research and develop advanced machine learning methods to assess the technical feasibility and potential business value Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept Uses and learns a wide variety of tools and languages to achieve results (e.g., Python, SQL, machine learning libraries) Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling Executes on modeling/machine learning projects effectively Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership Job Qualifications

• Develop, validate, and deploy statistical and machine learning models • Design and implement P&L forecasting models and business prediction frameworks • Perform data analysis, feature engineering, and model optimization • Write efficient and scalable code using Python and SQL • Work with large datasets in cloud environments (GCP) • Communicate insights and model outcomes clearly to business stakeholders • Work independently with minimal supervision in a client-facing setup.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Scientist at MVP, you will be a part of the growing data science team developing solutions for problem solving client-related issues. You will also work on machine learning solutions for all platforms across the organization utilizing Python, R, Excel and other programs as needed. You will also be working with research and development to research and create forward-facing solutions to help drive client success. The Data Scientists will work directly with the data science, insights and engineering teams to develop and execute products, services, and solutions. This is a hands-on role that requires detailed statistical analyses as well as finding better ways to clean and structure data. For this job you will be involved in extensive research, development, and testing while carefully crafting the methodologies used. This position requires both strong analytical skills and creative thinking. You must be self-motivated, have a drive to succeed while making MVP better, and most of all be curious about data. On the very first day you will be partnered with a mentor or team of mentors to help guide and transition you into our company. This is a fast-paced job and only individuals who love data and finding solutions will succeed. This position is remote, with a strong preference for candidates based in the Greater Austin Area to support occasional in-person collaboration. Qualifications - Bachelor’s degree in Computer Science, Statistics, Mathematics or related field - 2+ years of work experience in an analytical field - Extensive data analytics project experience using Python, SQL, or R - Strong experience with Excel with experience in BI tools as a great addition - Experience in machine learning and data mining projects - Experience in Databricks is a plus - Located in the Greater Austin Area is preferred Requirements - Utilize Python and R tools to develop ways to problem solve and streamline processes for data science - Research and develop automated solutions for testing and further development - Work with senior-level data scientists and engineers to assist in creation of enterprise solutions - Work with our Insights and Client Services teams to streamline processes related to omni-channel valuation and other software and services - Develop and implement data methodologies, data collection systems, and other strategies that optimize statistical efficiency and quality - Build models, test data set validations, and clean data sets to ensure the most accurate reporting - Ability to work in an autonomous, self-directed environment with a sense of urgency in solving client issues - Ability to perform in a fast-paced, team, and process-building environment - Personal interest in sports, entertainment, social media, esports, data, AI, and other relevant aspects of the tech business Benefits - A team of talented, hard-working colleagues - The opportunity to invent new solutions, grow your career, and enhance your skill-set - Competitive health insurance premiums (medical, dental & vision) - Unlimited, flex vacation policy - Competitive compensation - The ability to learn and grow from technology innovators and disruptors