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 DescriptionArity Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone. At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real-world problems and put your talents towards transforming transportation. That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here. Arity is committed to supporting an inclusive and diverse environment where you can thrive and learn from others. The Team Advertising data science team 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 goalsAs an advertising data scientist at Arity, you will lead the development of machine learning algorithms on both 1st party driving data like GPS and driving events, as well as, ad platform data including impressions, clicks, conversions. You are expected to make key technical decisions about how to implement machine learning models including both traditional and deep learning models on large volumes of data. You have chances to influence the business for the entire cycle of the optimization solution including data collection, processing, modeling, A/B testing on the ad platform. You will personally prototype these solutions and work with product owners, data/software engineers, and other partners for productionization and KPI measurement. Some example projects include:<ul><li>Click-through rate (CTR)/conversion prediction</li><li>Win rate model</li><li>Dynamic bidding strategy</li><li>Pacing control and budget management</li><li>Frequency capping model</li><li>Platform simulation</li></ul>These models help us understand how effective our ad platform is and provide opportunities for improvement and growth. You will also help shape and grow our culture we have worked hard to establish – promoting recognition of good work, continuous learning, winning together, and having fun along the way.ResponsibilitiesYour day-to-day looks like:<ul><li>Be a thought partner in the area of experimentation for Ads Platform, and autonomously identify and pursue research with significant business impact on KPIs</li><li>Analyzing large amount of data sets using distributed computing frameworks</li><li>Building advanced algorithm and machine learning models using a variety of libraries/tools and cutting-edge techniques</li><li>Identifying opportunities for new machine learning solutions, exploring new data sources for enrichment, collecting appropriate labels for learning, establishing actionable metrics, and creating reusable model validations and risk mitigation</li><li>Communicating results to key stakeholders in a clear and compelling manner</li><li>Establishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and compliance</li><li>Working with product and engineering partners for model handoff and productionization</li></ul>Qualifications<div><div>Minimum Requirement </div><div><ul><li>A Bachelor’s degree with 8+ years of industry experience, or a Master’s/PhD with 4+ years of experience as a Data Scientist or Machine Learning Scientist.</li><li>2+ years of hands-on experience developing data science solutions in the digital advertising domain, including areas such as: Real-time bidding strategies, Ads ranking algorithms, Click-through rate (CTR) and conversion prediction models, Bid shading and pacing optimization </li><li>Proven expertise in building and deploying advanced machine learning and deep learning models, including:</li><li>Model development and training, such as parameterized methods, ensemble algorithms, deep neural network </li><li>Deployment and monitoring on advertising platforms </li><li>Lifecycle management of models </li><li>Strong programming skills in Python and Spark (or equivalent big data tools), with experience in: Large-scale data processing, Production-level engineering for ML solutions </li><li>Proficiency with scientific computing and ML libraries such as: Scikit-learn, TensorFlow, PyTorch, Spark MLlib, or any other distributed ML libraries </li><li>Ability to translate complex product requirements into well-defined analytical problems and deliver actionable solutions. </li><li>Strong communication skills, with the ability to explain technical concepts and data insights to stakeholders with varying levels of expertise. </li></ul></div><div>  </div></div><div><div>Preferred Qualifications </div><div><ul><li>Experience with control theory and the application to ad platform optimization </li><li>Experience with reinforcement learning algorithms such as </li><li>Multi-armed bandit algorithms, Q-learning, Deep reinforcement learning </li><li>Experience with cloud data warehouse solutions such as BigQuery or Redshift </li><li>Experience with deploying ML models using AI platforms such as Vertex AI and Sagemaker </li></ul></div><div> </div></div>#LI-JB2SkillsAlgorithms, Big Data, Data Analytics, Data Science, Deep Learning, Digital Advertising, Machine Learning, Machine Learning Algorithms, Predictive ModelingCompensationCompensation offered for this role is $125,200.00 - 207,550.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. Good Hands. Greater Together.Allstate generally does not sponsor individuals for employment-based visas for this position.Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.For jobs in San Francisco, please click “<a target="_blank" href="https://urldefense.com/v3/__https:/sfgov.org/olse/sites/default/files/Document/FCO*20Poster*20Set*20All*20Languages*2010*2001*2018.pdf__;JSUlJSUlJQ!!IIU9BLNPZ2ob!Px2f9XWyJzj2IYSNKd2yIt3iNCquNTBdKl01sufyLfNQeN2bGNbgHXw7_TJg-F4Jn0T0dUxP7CPzLzPNxYrqtVELWg$">here</a>” for information regarding the San Francisco Fair Chance Ordinance. 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This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance ProgramsTo view the FMLA poster, click “<a target="_blank" href="https://urldefense.com/v3/__https:/www.dol.gov/whd/regs/compliance/posters/fmlaen.pdf__;!!IIU9BLNPZ2ob!Px2f9XWyJzj2IYSNKd2yIt3iNCquNTBdKl01sufyLfNQeN2bGNbgHXw7_TJg-F4Jn0T0dUxP7CPzLzPNxYqw_mTXJA$">here</a>”. 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 employees 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.