Senior Data Scientist, Torqata [Time-Series Focused] in Huntersville, NC at American Tire Distributors

Date Posted: 5/17/2021

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Job Description

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Are you looking for an opportunity to turn your ambition and your people skills into a rewarding career with an industry leader? Join our team at American Tire Distributors! As the nation's premier tire distributor, ATD’s coast-to-coast distribution network provides approximately 80,000 customers across the U.S. and Canada with rapid and frequent delivery of high quality tires, custom wheels and shop supplies. 

Position Description: 

Torqata, a subsidiary data and analytics company of American Tire Distributors (ATD), is looking for an expert in time series forecasting with additional knowledge in machine learning and statistics, to serve in a Senior Data Scientist role. As a domain expert in time series forecasting, you will work alongside other data scientists, data engineers, software engineers, and product managers to implement state-of-the-art forecasting services that will touch all of Torqata’s products. You will handle large and mostly structured datasets to build your models – from simple statistical models to larger global models using the latest in DNN research. Your primarily focus will be accelerating Torqata’s analytics capabilities using whatever tools and models are available. A good candidate for this role can work independently or collaboratively and has outstanding technical skills in the area of data science – classification and regression model building, diagnostics, deployment, and monitoring. You will have strong communication skills, an ability to work as part of an Agile team, and a driven curiosity to solve extraordinarily challenging problems.

Essential Duties & Responsibilities

  • Be Torqata’s domain expert in time series forecasting – hierarchical or grouped forecasting, probabilistic forecasting, augmentation of existing forecasts with exogenous data, forecasting error metrics
  • Work with large, complex data sets to build scalable ML solutions for large industry problems
  • Balance time-to-develop, time-to-market, complexity, understandability, and accuracy during development of models
  • Write production-level code in Python for components of the data science process – ingestion & transformation, feature engineering & selection, model training, validation & deployment
  • Test hypotheses using Bayesian or frequentist statistics, and explore/extract useful insights
  • Assess existing and future models for conceptual soundness, assumptions, and limitations
  • Implement the most appropriate method for extrapolating from potentially biased samples to a wider population, and providing relevant measurements
  • Build and deploy resulting models in a fashion that can be consistently monitored, and utilized across the Torqata engineering teams
  • Follow an agile development methodology


  • BS/MS/PhD in Machine Learning, Statistics, Computer Science, Mathematics, or related subject
  • 3+ years of experience working with time series forecasting
  • Advanced understanding of machine learning in the context of business use-cases
  • 3+ years of experience with Python or R and relevant modules: SKLearn, PyTorch/TensorFlow, PyStan, Pandas, Numpy
  • Knowledge of hypothesis testing – statistical significance testing, Bayesian analysis
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Able to independently or collaboratively solve problems with a team of top-notch data scientists
  • Strong familiarity with SQL and Linux
  • Ability to explain complex concepts across business units
  • Professional attitude and service orientation; superb team player

Additional / Nice to Haves

  • Operational experience working with microservices and/or in a production cloud environment
  • Published papers or conference speaking engagements related to time series forecast
  • Background in supply chain and logistics work
  • Practical and theoretical knowledge of mixed models and their usage in a business context
  • Knowledge in causal inference techniques

Build a challenging and rewarding career with us!

American Tire Distributors is an Equal Opportunity Employer and Drug Free Workplace

Shift Type:
Job ID: R14588