Sr Manager of Data Science/Analytics

• Looking for someone who has applied hands on experience in their background cannot just have people leadership experience needs to have hands on DS experience in their career
• STEM background understand Math and computer science different in the roles from DS will be spending less time hands on but will do some hands-on work
• 30%-40% hands on 60-70% growing and developing the team, interfacing and building relationships with VPs in the Operations area
• Number of VPs who support vertical Fleet, Collections (picking up containers)
• What s the vision what problems do they want to solve, and then translate that into what the DS team can do to help achieve those goals
• Road mapping, planning, driving solutions

• Participates in determination of stakeholder needs and ensures business value is realized. Determines data analysis goals given business objectives. Determines data requirements and performance metrics to support analysis.
• Implements best practices and repeatable processes that ensure consistent, quality delivery of modeling and analytics work. This encompasses responsibility for quality control including ensuring that appropriate documentation and peer review processes are in place.
• Partners with business customers as a thought leader to identify research and/or business opportunities that the analytics team can support.
• Prepares complex data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, feature engineering, and handling multivariate data.
• Modifies and analyzes data sets using complex analytics techniques such as machine learning, advanced statistical analysis, mathematical optimization and simulation. Identifies modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and business goals.
• Evaluates and validates correctness of models and analysis. Assesses and confirms performance of models and analysis. Validates that models and analyses meet business objectives.
• Works with field organizations to construct statistically valid tests of new initiatives. Responsible for experimental design, measurement of results and the development of strategy insights and implications.
• Conducts extensive analysis around price elasticity, willingness to pay, competitive assessment, and price-volume trade off curves.
• Communicates analytical results to clients in a consultative manner, and always at a level that is consistent with the target audience

• Bachelor s Degree in an analytical field (Mathematics, Economics, Computer Science, Information Management, Statistics, Finance, Engineering, etc.).
• 2 years of experience leading analysts directly or in a matrix capacity as part of large, complex projects requiring resources across multiple teams.
• 5 Years of experience and demonstrated knowledge of applying statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees to real word business problems.
• 5 years of experience and demonstrated proficiency with quantitative tools including MS SQL, SAS, R, Python or similar statistical software.
• 5 years of experience building, managing and manipulating large data sets in a database environment
• 5 years of experience working with IT or other operational resources to automate analytics workflows and models.
• Demonstrated proficiency with MS Office including Word, SQL Server, and PowerPoint. Excel skills should be advanced

• Prior leadership experience is required, experience as a Data Scientist preferred.
• Knowledge of logistics, supply chain, and fleet management a plus.
• Applied experience with experimental design, time series modeling, and optimization preferred.
• Collaborates with business leaders to define a roadmap of data science deliverables.

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