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- 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.
- 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).
- Experience applying advanced statistical methodologies (Bayesian, non-parametric techniques, hypothesis testing, ANOVA, regression, fixed/random effects).
- 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.
- 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.
Key Skills
Ranked by relevance
machine learning
hadoop
data mining
big data
python
scala
spark
sql
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- Posted
- May 12, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Burlington
- Company
- Largeton Group
Industries
Information Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-05-20
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Software Engineer III, Machine Learning, Research and Products
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