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Data Science Manager, AI and Machine Learning

Company: H&m Group
Location: Secaucus
Posted on: January 16, 2022

Job Description:

Company Description

H&M Groups Business Tech Organization

Rapid technological development is transforming the fashion retail industry. From AI to data-driven business development, user experience to engineering, we turn business challenges into innovative tech solutions making H&M Group a global leader in combining tech, fashion, and design.

The H&M groups Business Tech organization created a completely new product organization where we explore new ways of working, have a customer focused mindset, embrace our strong values, and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world. The team aims to continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. To cater to the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands. Fashion, design, customer value, tech and data are in our DNA.

Job Description

Opportunity Snapshot

As the Data Science Manager for AI/ML teams in Americas HUB, you will have ambitions to recruit a team of 10-15 data scientists, machine learning engineers, and data engineers within the next year or two from your start date. Beyond being responsible for building up the team and managing them, you will also be playing a fundamental role in shaping the overall strategy of the new tech hub in the Americas. Your mission is to manage and coordinate the Data Science team within the Semantic Search team through mentoring and hands-on efforts while providing input on the overall direction of the H&M AI efforts in the AI leadership team. Together with the AI leadership team, you will navigate through the business's most complex problems using advanced analytics and machine learning as the tool for improvements.

This position is based in Secaucus, NJ or New York, NY, and will report to the Head of Business Tech of Americas HUB.

Core Responsibilities Include But Are Not Limited To

  • Build a team of data scientists, machine learning engineers, and data engineers focusing on the next generation of semantic search solutions (product data enrichment) and set the direction for the new AI hub in the Americas
  • Manage the semantic search data science team in Americas Hub through coaching, mentoring, career development, and when needed, hands-on data science work
  • Be a resident expert for Machine Learning, statistics, and scaling ML solutions and keep your finger on the pulse of emerging technologies, assess their relevance to H&M and our developers, and partake in architecture/technical decisions made by the team
  • Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development
  • Combine, explore and draw insights from data. Often large and complex data assets from different parts of the business.
  • Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation and machine learning techniques
  • Prototype and pilot new solutions and be a part of the aim of productionizing those valuable solutions that can have impact at a global scale
  • Guide and coach other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes
  • Identify and interpret trends and patterns in complex data sets to enable the business to take data-driven decisions
    • Masters, PhD, or other Advanced Degree in a field linked to computer science, applied mathematics, statistics, machine learning, or related data centric areas
    • 6+ years of experience in a data science environment with focus on AI, with responsibility and leadership over comprehensive tasks and teams
    • 3+ years of experience in recruiting, leading and developing more junior data scientist, preferably from comparable industry or role at previous employers with large professional network to engage
    • Supervised and unsupervised machine learning models such as clustering, classification, random forest, ensemble to solve problems
    • Experience working in text and/or image problems using deep learning models such as CNN, RNN, Transfer Learning
    • Experience with performance engineering (testing, tuning, and monitoring tools) and common Machine Learning tasks such as feature engineering, feature selection, and good understanding of data drift and concept drift
    • Experience leading projects in applied deep learning in NLP and computer vision
    • Experience in deploying and maintaining models on cloud platforms such as Azure
    • Ability to work with large, complex data sets, extract/present valuable information, and ability to conduct ad hoc analysis for critical business decisions
    • Ability to understand business requirements, general insights, and explain complex topics and tailor to audience
    • Develop mathematical models within business function to drive results, value, establish priorities with clear goals and responsibilities to achieve an elevated level of performance
    • Ability to validate and follow up on results and work in an agile and iterative manner on solving problems
    • Ability to evaluate different options proactively and ability to solve problems in an innovative way. Develop innovative solutions or combine existing methods to create novel approaches.
    • Strong verbal and written communication
    • Analytics and statistics, Mathematical modeling, Machine Learning, Deep Learning, Optimization
    • Python and/or R, Spark, SQL, Azure, PyData Stack
      Additional Information

      All your information will be kept confidential according to EEO Jobble

Keywords: H&m Group, New York , Data Science Manager, AI and Machine Learning, Executive , Secaucus, New York

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