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Applied Machine Learning Scientist

Date: Nov 23, 2022

Location: CHICAGO, IL, US, 60603-4013

Company: Grainger Businesses

Applied Machine Learning Scientist

 

 

About Grainger:

Grainger is North America's leading distributor of maintenance, repair, and operating products and services. Our wide assortment, deep expertise, innovative technology solutions and unparalleled customer service keep customers' operations running and their people safe.

We're looking for passionate people who can move our company forward. We have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way at Grainger.

Position Details:

We are looking for an Applied Machine Learning Scientist to join our team of 50+ other Analytics and Data team members who are passionate about applying data and quantitative methods to provide tangible, long-term monetary benefits to our organization. The Applied Machine Learning Scientist will report to a Manager of Data Science.

Our Machine Learning area spans across Recommender Systems, Optimization and Simulation, Natural Language Processing, and other Machine Learning / Deep Learning-based applications. The Applied Machine Learning Scientist is someone with programming experience, applied machine learning experience and engineering skills.

You Will:

  • Develop machine learning and deep learning models that improve the effectiveness of our business operations
  • Automate work across the organization to improve our speed and efficiency
  • Work with the business to understand the problem space, identify the opportunities, and translate our problems into technical solutions using machine learning frameworks
  • Research new techniques and technologies in the space of ML / AI, Intelligent automation, NLP and evaluate their potential for specific business use cases
  • Build machine learning pipelines from ideation, prototyping, development, and deployment
  • Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, Bayesian methods to build scalable solutions
  • Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection
  • Create scalable, efficient, automated processes for large-scale data analyses, model development, model validation and deployment
  • Create and deploy products, automate and integrate into systems and business processes; develop consumable endpoints (Web Applications, REST APIs)
  • Monitor deployed products for continuous improvement (hyperparameter tuning)

You Have:

Required Education/Experience:

  • 2+ years of experience using python, pyspark, or Scala (outside coursework)
  • BA or MS in a technical field such as Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, Applied Science or Engineering
  • Proficient in usage of databases (e.g. Teradata, Snowflake, s3) and querying languages (e.g. SQL, Spark SQL)
  • Advanced programming skills with R, Python, and other Scripting languages
  • Experience working in containerization ecosystems (Kubernetes or Docker)
  • Advanced data science toolsets (e.g. tensorflow, pytorch, scikit learn)
  • Experience developing and employing model risk management strategies (model registry, concept/covariate drift monitoring, Hyperparameter tuning)
  • Experience deploying products using technologies like Spark and Airflow
  • Experience using advanced computing technologies when needed (e.g. GPUs)
  • Follow software engineering practices and use collaboration tools (e.g. Bitbucket, GitHub)

Rewards and Benefits:

With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice and flexibility to meet our team members' individual needs. Check out some of the rewards available to you at Grainger

  • Medical, dental, vision, and life insurance plans
  • Paid time off (PTO) and 6 company holidays per year
  • Automatic 6% 401(k) company contribution each pay period
  • Employee discounts, parental leave, 3:1 match on donations and tuition reimbursement
  • A comprehensive set of emotional, financial, physical and social wellbeing programs

DEI Statement

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.