Deliver data science support for assigned brand(s), partnering with brand teams to develop and implement models, insights, and data products aligned with strategic priorities.
Analyze large-scale data sets to identify key insights that inform product and brand strategies.
Collaborate with cross-functional teams to uncover growth opportunities, define data requirements, establish key metrics, and promote data-driven solutions.
Design, deploy, and evaluate experiments to drive higher adoption, improved business performance, and enhanced consumer experience.
Conduct exploratory analyses, select and apply appropriate machine learning algorithms, and build optimization engines for impactful solutions.
Research and apply new data science and engineering technologies to enhance team capabilities.
Communicate complex analytical findings to senior management, translating technical concepts into actionable business insights.
Key Qualifications
Proficient in relational databases (SQL) and distributed systems (Hadoop, Snowflake, Databricks).
Skilled in building data science pipelines/applications using Python, Scala, or Java.
Practical and theoretical expertise in ML algorithms (classification, regression, clustering, anomaly detection).
Hands-on experience with big data environments (Hadoop, Spark) and manipulating/analyzing unstructured data.
Strong ability to extract business insights from data and identify underlying drivers.
Excellent communication skills for presenting complex analyses to senior executives.
Education & Experience
Bachelor’s degree in engineering, economics, statistics, computer science, or related quantitative field required.
Advanced degree in applied econometrics, statistics, data mining, machine learning, analytics, mathematics, operations research, industrial engineering, or related field preferred.
Experience in food and beverage services is a plus.
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Information Services
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