Consumer Edge is looking for a Data Scientist to tackle complex business challenges using data and AI products, specifically focusing on location analytics, time series forecasting, anomaly detection, and large-scale A/B testing.
Requirements
- Expert-level proficiency in Python and its core data science libraries.
- Advanced proficiency in SQL, including window functions, common table expressions (CTEs), and query optimization.
- Deep understanding and practical application of machine learning algorithms (e.g., regression, classification, clustering, tree-based models) and statistical principles (e.g., hypothesis testing, experimental design).
- Proven experience leading projects in at least two of the following areas: location analytics, A/B testing, anomaly detection, or time series forecasting.
- Demonstrable experience writing clean, maintainable, and production-ready code, with a strong grasp of software engineering best practices.
- Familiarity with cloud platforms (e.g., GCP, AWS,, Azure) and their associated data and ML services.
- Experience with big data technologies (e.g., Apache Beam, Spark, Dask) and distributed computing environments.
Responsibilities
- Apply advanced geospatial techniques to solve challenging location analytics problems, deriving insights from spatial data.
- Design, build, validate, and deploy end-to-end machine learning models for key business problems, including anomaly detection and time series forecasting.
- Lead the design, execution, and statistical analysis of complex A/B tests and other experiments to drive and measure marketing activation.
- Perform deep-dive exploratory and statistical analyses using advanced SQL and Python to query, manipulate, and model large-scale, complex datasets.
- Champion software engineering best practices within the data science workflow, including code reviews, version control (Git), testing, containerization, and reproducibility.
- Clearly and proactively document technical design decisions, methodologies, and model limitations to ensure transparency and knowledge sharing.
- Translate complex analytical concepts and model outcomes into clear, actionable insights for non-technical audiences and senior leadership.
Other
- 5+ years of hands-on experience in a data science or machine learning role.
- Exceptional written and verbal communication skills, with a proven ability to present complex technical information to non-technical stakeholders.
- Mentor junior data scientists and analysts, fostering a culture of technical excellence and continuous learning.
- remote-first company with a distributed environment and flexible working arrangements.
- opportunity for a performance-based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work-from-home flexibility, and subsidized health benefits.
