Data Scientist, Sr.
Role summary
HNI Corporation seeks a Senior Data Scientist to join their Decision Science team. This role involves solving complex business challenges using advanced analytics, machine learning, and statistical modeling. Responsibilities include end-to-end ownership of data science initiatives, from problem framing and data strategy to model deployment and monitoring. The Senior Data Scientist will also contribute to data science standards, mentor junior team members, and collaborate with business and IT leaders to deliver impactful solutions. The position requires 7+ years of experience, a Master's or PhD in a quantitative field, and expertise in SQL, Python, and cloud environments. This role offers remote flexibility with occasional onsite meetings.
About The Company
HNI Corporation is a renowned global manufacturer specializing in workplace furnishings and building products. Operating through two primary segments, the company is a leading designer and provider of commercial furnishings under various distinguished brands, serving diverse markets worldwide. Additionally, HNI is the nation's foremost manufacturer and marketer of hearth products, catering to residential needs. Dedicated to enhancing living and working spaces, HNI prides itself on fostering an inclusive environment that emphasizes integrity, innovation, and positive societal impact. With a commitment to excellence and sustainability, the company continually strives to deliver high-quality solutions that meet evolving customer demands.
About The Role
The Senior Data Scientist at HNI Corporation is a strategic and technical leader within the Decision Science team. This role involves solving complex, cross-functional business challenges by leveraging advanced analytics, machine learning, and statistical modeling techniques. The Senior Data Scientist is responsible for end-to-end ownership of data science initiatives, from problem framing and data strategy to deploying models in production and monitoring their performance. As a key contributor, this individual will help shape data science standards, mentor junior team members, and collaborate closely with business and IT leaders to ensure scalable, reliable, and impactful solutions. The position offers an opportunity to influence strategic decision-making through innovative analytics and advanced data-driven insights.
Qualifications
- 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
- Proven success in 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
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
- Utilize 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 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 into clear, actionable insights for business leaders and non-technical stakeholders
- Act as a trusted analytics advisor, influencing decision-making through data-driven recommendations
- Establish and promote best practices for model development, documentation, testing, and deployment
- Mentor and guide junior and mid-level data scientists, fostering technical growth and knowledge sharing
- Collaborate on data collection strategies, analytics pipelines, and feature stores to enhance modeling effectiveness
- Support advanced use cases such as optimization, simulation, and early-stage AI initiatives
Benefits
- Comprehensive benefits starting from Day 1
- Competitive health, dental, and vision insurance plans
- Retirement savings options with company matching
- Paid time off and holiday leave
- Professional development and continuous learning opportunities
- Remote work flexibility with occasional onsite meetings within the Chicagoland area
- Supportive and inclusive work environment fostering innovation and collaboration
Equal Opportunity
HNI Corporation is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply and join our team in driving innovation and excellence.
