Role DescriptionWe're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities - Develop a deep understanding of customer journey phases and key business metrics - Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments - Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights - Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes - Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. - Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets - Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments - Translate complex concepts into implications for the business via excellent communication skills, both verbal and written - Understand what matters most and prioritize ruthlessly - Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting - Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction - Significant experience with SQL and large unstructured datasets such as Hadoop - Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees - Solid background in running multivariate experiments to optimize a product or revenue flow - Strong verbal and written communication skills - Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications - Product analytics experience in a SAAS company - Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2 $149,200—$201,800 USD US Zone 3 $132,600—$179,400 USD

Role DescriptionWe're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities - Develop a deep understanding of customer journey phases and key business metrics - Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments - Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights - Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes - Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. - Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets - Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments - Translate complex concepts into implications for the business via excellent communication skills, both verbal and written - Understand what matters most and prioritize ruthlessly - Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting - Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction - Significant experience with SQL and large unstructured datasets such as Hadoop - Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees - Solid background in running multivariate experiments to optimize a product or revenue flow - Strong verbal and written communication skills - Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications - Product analytics experience in a SAAS company - Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation

• Develop a deep understanding of customer journey phases and key business metrics • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written • Understand what matters most and prioritize ruthlessly • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

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 This role plays a critical leadership role in shaping how data and AI drive decision making at Allstate. As a data science leader, you will guide and mentor junior data scientists, lead medium to high complexity initiatives, and influence how data driven decisions are designed, evaluated, and scaled across the enterprise. You will lead the strategic application of machine learning and predictive modeling, identifying new opportunities, advancing modeling approaches, and integrating internal and external data to improve business outcomes. Beyond model development, this role contributes to the design of the end-to-end decisioning ecosystem, partnering across business and technology teams to ensure insights translate into real-world impact. You will also play a key role in developing scalable, cloud based, and full stack capabilities that support the reliable deployment of machine learning, decisioning, and agentic systems, ensuring solutions are not only innovative but also durable, governable, and ready to operate at enterprise scale. Key Responsibilities - Reviews, evaluates, and communicates modeling approaches and results to teams, leadership, and stakeholders to ensure methods and insights are well understood and incorporated into business processes. Develops and executes communication strategies that keep stakeholders informed and influence business partners and senior leaders on the effectiveness of machine learning and predictive modeling. - Collaborates with business units to address complex data and business problems by designing, building, and implementing machine learning and predictive models. Effectively interprets business needs to identify the optimal modeling approach and develops frameworks and prototypes that integrate data and modeling techniques to drive decision‑making. - Uses best practices in advanced statistical and machine learning techniques to build models that address business needs and improve the accuracy and impact of data‑driven decisions. - Identifies new tools, languages, data sources, and modeling approaches that enhance team efficiency, expand analytical capabilities, and unlock solutions to emerging business problems. - Builds and maintains foundational cloud capabilities to support scalable, secure, and reliable deployment of agentic and decisioning systems, including data ingestion, compute, storage, workflow automation, monitoring, and model‑serving frameworks. - Applies effective project‑planning techniques to decompose complex modeling and development initiatives into executable tasks, manage scope, and ensure timelines are met. Leads analytical and modeling projects with small teams or cross‑functional partners. - Mentors and develops other data scientists, providing guidance, elevating technical skills, and fostering a culture of learning and excellence. Experience - 5 or more years of experience (Preferred) Supervisory Responsibilities - This job has supervisory duties. Education & Experience (in lieu) - In lieu of the above education requirements, an equivalent combination of education and experience may be considered. #LI-JB1 Skills Artificial Intelligence Markup Language, Business Model Development, Cloud Infrastructure, Data Analytics, Data Pipelines, Data Science, Predictive Analytics, Predictive Modeling, Technical Leadership Compensation Compensation offered for this role is 134,000.00 - 209,750.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.