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Data Scientist

Yeti Coolers, L.L.C.

Austin, TX

r machine-learning d3.js

Mar 15

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, youll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, youll help our customers get the high-quality gear they need to make the most of their adventures. We are built for the wild.

The Data Scientist will lead the development and delivery of statistical forecast modeling and advanced analytics capabilities for YETI in Sales, Supply Chain, Demand Planning, Marketing, and E-Commerce.   This position will primarily leverage R and R Studio to develop operational forecasts and advanced analytics to be imbedded in functional dashboards to drive insights throughout the organization.  


Responsibilities:

·         Develop and maintain algorithms and statistical models for demand in Sales, Marketing, Supply Chain, and Demand Planning.

·         Establish predictive analytics utilizing statistical models and hybrid models to improve forecast effectiveness.

·         Assess internal and external causal data to improve forecast quality.

·         Identify new opportunities to expand utilization of advanced techniques and tools in the demand planning process (i.e. machine learning, artificial intelligence, pattern recognition, optimization, etc.)

·         Conduct data mining and enhancing data collection that is relevant for building analytic systems.

·         Data harmonization with third party sources.

·         Perform Ad-hoc analysis and present results effectively.


Qualifications and Attributes:

·         Masters or Undergraduate Degree in Data Science, Applied Mathematics, Statistics, Computer Science, Engineering, Operations Research or other closely related field

·         2-4 years of experience as a Data Scientist or closely relevant role performing the following:

      • Applying data mining methodologies (Machine Learning, Classification, Clustering, Association, Regression, etc)
      • Selecting features, building and optimizing classifiers using artificial intelligence and machine learning techniques
      • Predictive analytics (Bayesian modeling, Time Series modeling, Neural Networks, Gradient Boosting, Stochastic modeling, Graph Analysis, etc)

·         Equivalent combination of education, training, and relevant experience may be considered in place of the requirements above

·         Proficiency in analytical tools supporting data analysis, reporting and visualization (Tableau, PowerBI, Shiny)

·         Proficiency in high-level programming languages for numerical / statistical computation and visualization (R, Python)

·         Experience working with large data sets and big data / distributed computing platforms (Hadoop, Hive, Spark)

·         Working knowledge of retail and syndicated sales data

·         Knowledge of predictive analytics, machine learning, data discovery, data structure optimization, and time series analysis

·         Analytical Acumen: adept at simplifying complex problems, uncovering root causes, linking causality to provide predictive guidance based on data; must be able to harmonize disparate information and recognize/link patterns to prescribe recommended actions to achieve business results

·         Business Acumen: Demonstrates understanding of sales, operations, and financial aspects of the business; ability to analyze business processes and to recommend and implement process improvements

·         Ability to collaborate with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple disparate resources

·         Ability to create informative visualizations that display large amounts of data and/or complex relationships in simple, easily consumable dashboards

·         Strong communication skills with the ability to translate data analytics into coherent reports and presentations for internal and external customers with varying degrees of technical knowledge

·         Collaborative with strong team orientation

·         Ability to business partner and influence at all levels of the organization

YETI is an Equal Opportunity Employer