Data Scientist III
Hanes Brands

Winston-Salem, North Carolina

Posted in Retail


This job has expired.

Job Info


Overview

HanesBrands Inc., (HBI) is a global company with more than 59,000 associates in 33 countries, all working together to create the world's best apparel to include iconic brands such as Champion, Hanes, Bali, Bonds, and many more. We offer enormous opportunities for creative thinkers, for people with a passion for consumers, and for people who think like business owners. We're building a truly inclusive culture, where people of different backgrounds, races, cultures and experiences come together to make us stronger. We are a sustainable company committed to making a positive difference in our communities and around the world.

Hanes is searching for a full-stack data science professional to join the Advanced Analytics function, reporting into the Data Science team. Data Scientists at Hanes innovate and implement data-driven solutions to transform the way we do business to reach our Full Potential. As a team member you'll draw on strengths of being able to manipulate data, analyze it and present your findings to drive the business. Your deployed models and generated insights will drive everything we do from how we operate as a company to how we engage our customers and our consumers.

Responsibilities

  • Identify innovative data science opportunities that provide the biggest impact to our business strategy
  • Apply advanced data science knowledge to leverage state-of-the-art methods and technologies; lead by example to establish best practices
  • Develop statistical and machine learning methods to solve business problems and derive actionable business insights and recommendations
  • Present insights and recommendations to executive and business stakeholders discovered from data analysis and statistical/machine learning algorithms
  • Work with data engineers to test and validate training and production data pipelines, and complete the Dev Ops lifecycle
  • Derive metrics for model performance and conduct continuous monitoring after model deployment
  • Engineer datasets from different sources for data analysis and model development, which includes wrangling, cleansing, and pre-processing data
  • Collaborate in an agile analytics delivery team along with business stakeholders, business analysts, data engineers, and fellow data scientists


Qualifications

Required Qualifications:
  • Bachelor's Degree Analytics, Computer Science, Mathematics, Statistics, Engineering or a related quantitative discipline
  • 3-5 years of experience in data science or advanced analytics
  • 3-5 years of Python, R, and/or SAS
  • Strong understanding of high-performance algorithms and statistics
  • Expert knowledge of data modeling, queries and understanding of different data structures
  • Excellent analytical skills with an engineering, algorithmic mind to design tools, pipelines and systems to handle large-scale, real-time ML analysis, whether in batch or streaming
  • Demonstrated ability to facilitate and coordinate complex data analysis and development activities across teams in agile sprints with minimal direction
  • Proficient at collecting and mining data from disparate data sources while digging deeper to find the data that is really needed
  • Must be comfortable with a highly kinetic and agile environment
  • Committed team player who is proactive and takes ownership of their responsibilities
  • Excellent verbal and written communication skills are essential for coordinating across teams
Preferred Qualifications:

  • Master's degree in STEM with specialization in data science, machine learning, statistical modeling, and/or optimization
  • Knowledge and experience in marketing, supply chain optimization, customer behavior/journey modeling and prediction, product recommendation systems, online testing, etc. is highly desired
EOE/AA: Minorities/Females/Veterans/Disabled

Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly:
Telephone: 877.999.5553
Email: HBI_TA@hanes.com


This job has expired.

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