Allstate-posted 6 days ago
Full-time • Mid Level
McCullom Lake, IL

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 Lead the creation of an industry-leading Behavioral Science function to transform customer experiences through data-driven design and insights. Your work will directly shape how millions of customers experience our products and services. By applying behavioral science principles and rigorous experimentation, you will uncover insights that drive smarter decisions, improve customer trust, and create intuitive, human-centered experiences. This role is a unique opportunity to define a new strategic capability, influence enterprise-wide initiatives, and set the standard for how behavioral science integrates with advanced analytics and AI. As the Senior Data Scientist Manager of Behavioral Science, you will be the architect of a new discipline within the organization, building a behavioral science capability. This role blends advanced data science techniques with behavioral insights to uncover patterns in human behavior, optimize user experiences, and inform strategic decision-making. The ideal candidate will have a strong foundation in statistics, machine learning, and behavioral theory, with experience applying these skills in real-world settings. You will design the groundwork for behavioral insights and leverage these to understand how customers interact with products and services, applying these learnings to redesign experiences that drive engagement, trust, and satisfaction. Working in partnership with pricing, data science, UX, and business strategy teams, you will influence high-impact initiatives and deliver measurable outcomes that shape the future of customer interactions.

  • Lead and mentor a team of data scientists and experts, fostering a culture of innovation and collaboration.
  • Builds alignment for vision and strategy with business and technology stakeholders, fostering relationships and engaging resources across departments.
  • Determines optimal program organization and delivery approach, assists in managing budget, coordinating resources and oversees development of integrated project plans.
  • Champion continuous learning, skill development, and career growth for team members.
  • Serves as a subject matter expert and consultant in data, analytics, and behavioral frameworks to optimize economic decision-making, reduce friction in digital journeys, and redesign customer interactions.
  • Design and oversee experiments to test behavioral interventions (e.g., nudges, choice architecture) for customer engagement and retention.
  • Builds and evolves vision and strategy leveraging AI, machine learning/predictive modeling, optimization and data within their area of responsibility.
  • Ensure robust experimental design and causal inference methodologies for behavioral impact measurement.
  • 10+ years of experience in data science, preferably with a behavioral science focus.
  • Proven knowledge of advanced techniques, and when and where to apply them.
  • Proven knowledge of ability to execute these statistical techniques in modern development environments (including but not limited to: Python, R, Tensorflow, docker, Kubernetes, etc)
  • Experience with A/B testing, causal inference, and experimental design.
  • Strong understanding of behavioral theories and frameworks.
  • Ability to provide written and oral interpretation of highly specialized terms, data, and complex strategies.
  • Ability to present this to others with different levels of expertise.
  • Ability to concentrate on a wide range of loosely defined complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable.
  • Experience with survey design and psychometric analysis.
  • Knowledge of ethical considerations in behavioral data use.
  • Experience working with product teams or in consumer-facing environments.
  • Experience in industries such as healthcare, fintech, e-commerce, or public policy.
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