Data Scientist developing advanced analytical solutions affecting business decisions. Expertise in data science with a focus on impactful, strategic projects.
About the role
- Platform Modeling Manager leading machine learning and data science strategy at Grubhub. Overseeing model development and team management while collaborating with stakeholders on business insights.
Responsibilities
- oversee the design, development, and implementation of advanced statistical and machine learning models and algorithms to solve complex business problems within the delivery ecosystem
- guide the team in conducting exploratory data analysis and applying quantitative techniques to derive actionable insights and recommendations that drive business value
- define and enforce strong software architecture and development best practices, ensuring the team builds, owns, and maintains scalable, reusable services, features, and components
- monitor the health of the production models, utilizing metrics, observability, and logging tools
- lead, inspire, and grow a diverse team of data scientists, providing mentorship, career planning, and constructive feedback
- collaborate with senior leadership to define and execute Wonder’s data science and engineering strategy, aligning roadmaps and timelines with core business goals
- craft a meaningful technical vision for the team, working closely with product and engineering teams to lead ML and AI vision and cross-functional initiatives
- lead the team's agile ceremonies, positively influencing the planning, refinement, and execution of goals in a rapid development environment
- act as a trusted advisor to business partners, providing strategic guidance and thought leadership on data-driven decision-making
Requirements
- 3+ years of management experience leading and motivating a team of data scientists or software engineers, including mentorship and career planning
- 6+ years of software engineering or related experience
- proven track record of leading technical teams in a fast-paced, Agile environment, managing multiple priorities and deliverables simultaneously
- experience in a self-directed role, responsible for end-to-end deliverables, and a history of advocating for strong data science standards
- master's degree in Computer Science, Statistics, Mathematics, or a related field
- expertise in machine learning, statistical analysis, and data mining techniques
- strong proficiency in key programming languages such as Python, R, and SQL
- proficiency with big data technologies, e.g. dbt, Apache Spark, Ray or similar
- experience dealing with production runtime constraints and trade-offs
- strong fundamentals in statistics and data structures
- deep understanding of and hands-on experience with distributed computing systems
- ability to debug production issues using observability and logging tools
Benefits
- competitive salary package including equity and 401K
- multiple medical, dental, and vision plans to meet all of our employees' needs
- many benefits and perks that are not listed
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