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Principal Data Scientist

Role overview

Qualifications

  • 12+ years of progressive experience in data science, machine learning or optimization models
  • Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning, Operations Research, or a related field
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field preferred
  • Exceptional communication, influence, and leadership skills

Responsibilities

  • Shapes the strategic direction for advanced analytics across the organization
  • Leads the development of highly complex analytical solutions for key business challenges
  • Act as a subject matter expert, providing deep technical guidance and consultation
  • Champion innovation by identifying and integrating cutting-edge technologies

About the company

Crate and Barrel logo

Crate and Barrel

Retail – Furniture & Home Furnishings

At Crate and Barrel, we help people love how they live in moments that matter. Founded in 1962, Crate and Barrel, Holdings (CBH) is an industry-leading home furnishings specialty retailer, including the brands Crate and Barrel, Crate and Kids, CB2, and Hudson and Grace. A leader in omnichannel retail and direct marketing, we believe in the experience of physical stores and embracing the customer experience by offering inspired living across all of our platforms. From curated product sourcing and production to custom delivery and set-up in more than 90 countries, our 7,500 talented associates form the dynamic teams that keep our company running and growing. Today, Crate and Barrel, Holdings is owned by the Otto Group, a Hamburg, Germany based global family of retailers and retail-related service providers focused on digital innovation, technology, sustainability and corporate responsibility. We operate more than 100 stores throughout the U.S. and Canada, and hold international franchise locations in nine countries, including six franchise eCommerce platforms. To learn more about Crate and Barrel, visit www.crateandbarrel.com. To become a part of our family of brands, visit our careers site at www.jobs.crateandbarrel.com and www.jobs.cb2.com

Company details

Company typeXLarge
IndustryRetail – Furniture & Home Furnishings
Company size5001 - 10000

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Job description

We inspire purpose-filled living that brings joy to the modern home. With a team of more than 8,000 associates spanning 130 store and distribution locations across the U.S. and Canada, we achieve together, drive results and innovate to inspire. Drawn together by a shared passion for our customers and a spirit of fun, we deliver high-quality home furnishings that are expertly designed, responsibly sourced and bring beauty and function to people’s homes. From the day we opened our first store in Chicago in 1962 to the digital innovations that engage millions of customers today, our iconic brand is nearly 60 years in the making—and our story is still unfolding.

 

We are seeking a Principal Data Scientist with 12+ years of experience to lead the development and deployment of cutting-edge analytics solutions. In this role, you'll tackle our most challenging business problems, drive innovation, and provide technical leadership to our data science organization. You'll have the opportunity to shape the future of our data-driven decision-making and make a significant impact on our company's success.

 

  • This position is fully remote

  • This role is an Individual Contributor position

A day in the life as a Principal Data Scientist...

  • Shapes the strategic direction for advanced analytics across the organization, delivering critical insights, actionable recommendations, and production-ready systems that have a substantial impact on key business outcomes and strategic initiatives

  • Leads the development of highly complex analytical solutions for key business challenges, significantly influencing cross-functional strategies and driving innovation across the organization, and ensuring solutions are scalable, reliable, and maintainable

  • Act as a subject matter expert, providing deep technical guidance and consultation to multiple data scientist teams and senior leadership

  • Provides strong technical leadership and mentorship to data scientists and technical leads across the organization, fostering a culture of technical excellence, continuous learning, and knowledge sharing, while establishing and championing best practices

  • Champion innovation by identifying and integrating cutting-edge technologies and methodologies to solve complex problems and create new opportunities

  • Influences technology direction by shaping the analytics strategy, aligning data science initiatives with overall business objectives and driving long-term value, and identifying opportunities to leverage data science to achieve strategic advantages

  • Leads the analysis and resolution of highly complex and unique data science issues, requiring in-depth evaluation of variable factors, and developing novel approaches to provide expert, strategic guidance and solutions to stakeholders across the organization, including senior executives

  • Drives innovation by exercising independent judgment in the selection and application of cutting-edge methods and techniques, continuously pushing the boundaries of data science and establishing the organization as a leader in the field

  • Collaborate with executive leadership, product management, and other stakeholders to influence product strategy and translate business needs into scalable technical solutions

  • Proactively identify and mitigate major technical risks and ambiguities across projects and systems

What you'll bring to the table...

  • Outstanding skills in creating compelling and informative data visualizations for executive audiences, with the ability to communicate complex information in a clear and concise manner that drives strategic decision-making

  • Extensive knowledge of various data modeling techniques, including advanced methods such as deep learning, Bayesian networks, and causal inference, and the ability to apply them to solve complex problems, selecting the most appropriate technique for a given business challenge

  • Extensive knowledge of statistical methods, including advanced techniques such as Bayesian analysis, causal inference, and time series analysis, and the ability to apply them to draw meaningful conclusions from data, and to design and interpret experiments to validate findings

  • Advanced proficiency in multiple programming languages (e.g., Python, R) and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Spark), with the ability to develop and optimize complex code for performance and scalability, and to guide development teams in implementing analytical solutions

  • Extensive experience with big data technologies (e.g., Hadoop, Spark, Kafka) for processing and analyzing massive datasets, and the ability to design and implement scalable data pipelines and workflows that can handle the demands of enterprise-level applications

  • Extensive experience with cloud-based analytics platforms (e.g., AWS, Azure, GCP) for scalable data storage, processing, model deployment, and monitoring, leveraging cloud-native services and infrastructure to build and deploy analytical solutions

  • Exceptional communication, influence, and leadership skills, with the ability to articulate complex technical concepts to diverse audiences

  • Recognized as a thought leader and expert in advanced analytics practices, with a proven ability to mentor and guide other data scientists, establish best practices across the organization, and to represent the organization in external forums and publications

We'd love to hear from you if you have...

  • 12+ years of progressive experience in data science, machine learning or optimization models, with a substantial record of leading high-impact, company-wide or industry-shaping technical initiatives.

  • Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning, Operations Research, or a related field. (or equivalent extensive practical experience). 

  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field is preferred.

 

Euromarket Designs, Inc., which does business as Crate and Barrel and CB2, will be referred to as “the Company”. The Company is deeply committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please contact the location you are applying to here and ask to speak with a manager regarding the nature of your request.

The Company is an equal opportunity employer; applicants are considered for all positions without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identity, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

The Company participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US.

State / City Compliance: The Company will consider for employment qualified applicants with criminal history, including arrest and conviction records, in accordance with the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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