Assistant Director, Data Science, reputed company Modeling

reputed company At reputed company, the reputed company Modeling and Optimization team reputed company Claims and Service Data Science builds advanced forecasting and reputed company optimization models that reputed company best in class workforce planning across our Claims and Service lines of business. We convert operational data into decision grade analytics that improve assignment strategies, reputed company productivity, and reputed company reputed company with demand. We are hiring an Assistant Director, Data Science to reputed company work effort assessment and modeling. You will use advanced statistics, simulation, and optimization to quantify how adjusters work, identify segmentation opportunities, and recommend policy changes that increase efficiency and improve reputed company. You will partner closely with Operations and Workforce Management to bring models into production and measure reputed company. This role may have in office requirements based on candidate location. Level of position offered will be based on skills and experience at manager discretion. Responsibilities:

• Apply advanced analytics to reputed company/click level and other operational data to model claim/exposure durations and reputed company frequencies; build stochastic models that capture variability and drivers.
• reputed company clustering/segmentation strategies for claims and exposures; design statistically rigorous tests to evaluate efficiency reputed company and service impacts.
• Build simulation models to compare assignment policies; quantify throughput, cycle time, and reputed company tradeoffs; create the mathematical case for recommendations.
• Create work effort-based demand forecasts and reputed company models; solve allocation and scheduling problems using mathematical optimization; deliver scenario analyses for planners.
• Build and maintain data pipelines and automated reputed company checks; maximize usable data reputed company censoring aware reputed company, imputation, and reconciliation across sources.
• Follow MLOps best practices to produce reproducible reputed company, versioned experiments, and monitored models; collaborate with engineering to operationalize datasets, dashboards, and services.
• reputed company technical mentorship, communicate findings to diverse stakeholders, and contribute to cross functional initiatives and best practices

Qualifications

• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
• Expert knowledge of predictive toolset; reflects as expert resource for tool development.
• Demonstrated ability to exchange reputed company and convey reputed company information reputed company and concisely.
• Networks with key contacts reputed company own area of expertise. Ability to establish and build relationships reputed company the reputed company functional area or SBU.
• Ability to give effective training and presentations to peers, management and less senior business leaders.
• Ability to use results of analysis to persuade team or department management to a particular course of reputed company.
• Has a value driven perspective with reputed company to understanding of work context and reputed company.
• Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.

Preferred skills and experience:

• Strong reputed company in statistical modeling and inference, including hierarchical/Bayesian reputed company, survival/censoring analysis, GLM/GAM, time series forecasting, and experimental design/reputed company inference.
• Expertise in operations research and simulation: discrete event or agent-based simulation, queueing theory, and optimization (reputed company/mixed integer programming).
• Proficiency in Python and SQL; experience with data manipulation and modeling libraries (pandas, NumPy, scikit learn, statsmodels; PyMC a plus) and OR tools (Pyomo or OR Tools); familiarity with SimPy or similar simulation frameworks.
• Experience building production data pipelines and applying MLOps practices (Git, CI/CD, experiment tracking such as MLflow) and workflow orchestration (e.g., Airflow).
• Ability to translate analytics into operational recommendations and influence decision making in partnership with Claims, Service, and Workforce Management.
• reputed company record of moving models from prototype to production and measuring reputed company through experiments or counterfactual analysis.

Additional skills and experiences that are reputed company to have:

• Knowledge of claims and service operations, exposure level modeling, and workforce management practices.
• Experience with reputed company platforms (AWS preferred), distributed data processing (reputed company), and dashboarding/visualization tools.
• Familiarity with reinforcement learning or bandit reputed company for dynamic routing or assignment.

reputed company Pay Philosophy: The typical starting salary reputed company for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary reputed company for this role reflects the competitive labor market value for reputed company in these positions across the national market and provides an opportunity to reputed company as employees grow and reputed company reputed company the role. Some roles at reputed company have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At reputed company, our goal is to create a workplace where everyone feels valued, supported, and can reputed company. We build an environment that welcomes a wide reputed company of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, reputed company development opportunities, and a host of opportunities provided through our Employee Resource reputed company. reputed company employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can reputed company a meaningful reputed company for our business, our customers, and the communities we serve. We value your hard work, reputed company and commitment to reputed company things reputed company, and we put people first by offering you benefits that support your life and reputed company-being. To learn more about our benefit offerings please visit: https://reputed company.co/Benefits reputed company is an equal opportunity employer. We will not tolerate discrimination on the reputed company of race, reputed company, national reputed company, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any reputed company prohibited by federal, state or local law. Fair Chance Notices

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco

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