HNI Corporation · 5 hours ago
Sr. Data Scientist
HNI Corporation is a global family of brands for the workplace and home, dedicated to enhancing spaces where we live, work, and gather. The Senior Data Scientist is responsible for solving complex business problems using advanced analytics and machine learning, while also providing technical leadership and mentoring within the team.
FurnitureHome DecorManufacturing
Responsibilities
Lead the design, development, and deployment of advanced predictive, prescriptive, and machine learning models to support enterprise decision-making
Apply advanced statistical techniques, feature engineering, and algorithm selection to complex, multi-source datasets
Use SQL, Python and related tools to analyze large-scale internal and external data sources
Identify patterns, trends, and drivers of business performance across manufacturing, supply chain, sales, and operations
Own data science solutions from initial concept and feasibility assessment through production deployment and ongoing optimization
Define modeling approaches, validation strategies, and performance metrics to ensure business value and technical rigor
Monitor deployed models for performance, drift, and stability; recommend enhancements or retraining strategies
Partner with data engineering and IT teams to ensure models are production-ready and operationally supported
Translate complex analytical concepts and results into clear, actionable insights for business leaders and non-technical stakeholders
Act as a trusted analytics advisor to cross-functional partners, influencing decisions through data-driven recommendations
Support executive-level discussions by framing trade-offs, assumptions, and risks associated with analytical solutions
Establish and promote best practices for model development, documentation, testing, and deployment
Mentor and guide junior and mid-level data scientists, providing technical feedback and coaching
Contribute to the evolution of HNI’s data science toolset, methodologies, and operating model
Evaluate emerging analytics, ML, and AI techniques and recommend practical adoption
Collaborate on the design of data collection strategies, analytics pipelines, and feature stores that improve modeling effectiveness
Partner with analytics, BI, and data platform teams to ensure data science outputs are usable across the enterprise
Support advanced use cases such as optimization, simulation, and early-stage AI initiatives
Qualification
Required
7+ years of progressive experience in advanced analytics, data science, or machine learning roles
Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline
Demonstrated success delivering end-to-end data science solutions in a production environment
Deep hands-on expertise with SQL and Python
Strong experience working in cloud-based environments (Azure preferred; AWS/GCP acceptable)
Solid understanding of Linux-based systems and distributed computing environments
Exceptional analytical, problem-solving, and critical-thinking skills
Strong communication, consulting, and stakeholder engagement capabilities
Preferred
Experience supporting analytics in manufacturing, supply chain, or complex operational environments
Exposure to MLOps practices, model lifecycle management, or scalable deployment frameworks
Experience collaborating with data engineers, architects, and platform teams
Familiarity with advanced analytics use cases such as optimization, forecasting, or AI-enabled decision support
Benefits
Benefits starting from Day 1
Company
HNI Corporation
At HNI Corporation, we go beyond simply building great desks, chairs, file cabinets and fireplaces.
H1B Sponsorship
HNI Corporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (12)
2023 (9)
2022 (20)
2021 (15)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
$1.73B2025-09-05Post Ipo Debt· $1.73B
1978-01-13IPO
Leadership Team
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