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

Date Posted: 5/17/2021

Job Snapshot

  • Employee Type:
    Full-Time
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    5/17/2021

Job Description

We look forward to your application! When applying, please be sure to put your Full Legal First Name and Last Name for legal and processing purposes.

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

Requirements

  • 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