We are looking for an extraordinary data scientist to help build the algorithmic assets and features that our guests, members, customers, and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business.
In this role, you will have the opportunity to lead a growing portfolio of data science products within the Decision Science function, such as Targeted Marketing Optimization and Pricing Optimization.
Location: The preference is to have someone local to Chicago. If they are out of state, they would want someone open to moving here. They will provide relo.
Terms: Fulltime role.
You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science.
Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn’t just a nice to have, it’s a must. You will be part of a team passionate about diversity, equity, and inclusion, committed to nurturing curiosity and new skills and building connections with stakeholders, colleagues, and guests across the organization.
The Role
•Lead a variety of algorithmic product implementations leveraging core algorithmic data science, ML, and AI capabilities to drive measurable business impact.
•Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
•Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.
•Hands-on developer of internal models/processes such as machine learning models, numerical optimization, statistical significance testing, ML-as-a-service API development, and streaming event data processing.
•Manage other data scientists and be accountable for the research agenda and value delivery of algorithmic products.
•Stay up to date with the latest data science research and how it can be applied to our business. Conduct research review and internal presentation sessions as appropriate.
•Provide guidance and recommendations on appropriate system solutions, modeling approaches, and associated risks for a variety of business problems.
•Work collaboratively with other data scientists, business partners, and ML engineers to ensure proper execution/integration of algorithmic products.
•Report on incremental business impact with a commitment to ethical data science.
Qualifications
· Master’s degree in operations research, computer science, statistics, or related fields required. PhD preferred.
· 7+ years of data science experience with a focus on algorithmic product development, with a history of successfully driving measurable business impact. Hospitality experience is not required.
· Expertise in Python, SQL, and Spark. Additional software experience preferred i.e. Docker.
· Expertise in a broad array of machine learning frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, etc).
· Expertise with Optimization (IP/MIP/QP) and solvers (Gurobi etc)
· Experience managing and implementing ML-backed Optimization solutions with measurable business impact required experience with targeted marketing and dynamic pricing preferred.
· Experience formulating and managing impact-focused research agendas in Decision Science.
· Experience managing (accountable, responsible) multiple Decision Science products, including both people management and hands-on implementation.
· Experience operating on AWS with large datasets.
· Experience with streaming data architectures.
· Experience operating in an Agile Methodology environment.
· Experience with DevOps and CI/CD concepts.
· Publication track record in major peer-reviewed journals preferred.
· Excellent communication and teamwork skills.