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Remote Innovation Scientist Jobs (NOW HIRING)

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

Due to the remote nature of this role and associated employment requirements, the company is unable ... Data Strategy & Innovation * Collaborate on the design of data collection strategies, analytics ...

Attain Finance

Senior Data Scientist

$110K - $150K/yr

Join a leading consumer credit lender that thrives on innovation and collaboration, where your ... This employer participates in E-Verify for US-based hires. #AttainFinance #remote #CURO #remote EEO ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

... innovation, reliability, and top-tier cyber security and IT solutions. As a Virginia-based small ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Berriehill Research

Senior Scientist

Raleigh, NC · On-site +1

$80K - $110K/yr

Remote work may be considered for the right candidate. What you will do as a senior scientist ... Our culture supports career advancement and rewards innovation, self-motivation, and technical ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

About Level Up Level Up, LLC, a wholly-owned subsidiary of AVIAN, represents a fusion of innovation ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... innovation and client success are paramount. Join us in revolutionizing automotive marketing and ...

Redfish Recruiting

Principal Data Scientist

Principle Data Scientist - EdTech Remote About: We are an educational startup dedicated to building ... We are a pioneering AI team committed to spearheading innovation in leveraging cutting-edge ...

Latica AI

Clinical Data Scientist (Remote)

... therapeutic innovation.Our platform enables fast, compliant access to diverse clinical data ... Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... innovation and client success are paramount. Join us in revolutionizing automotive marketing and ...

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How much do remote innovation scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote innovation scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

How does a remote innovation scientist typically collaborate with cross-functional teams despite working remotely?

Remote Innovation Scientists frequently use digital collaboration tools such as video conferencing, project management platforms, and cloud-based document sharing to maintain close communication with colleagues in R&D, marketing, and product development. Regular virtual meetings, brainstorming sessions, and status updates are standard practices to ensure alignment and share progress on innovative projects. Effective time management and proactive communication are crucial for overcoming challenges related to time zone differences and building strong, productive relationships with diverse team members.

What is a remote innovation scientist?

A Remote Innovation Scientist is a professional who researches, develops, and implements new ideas or technologies for a company while working remotely. They often collaborate with teams virtually to create innovative solutions, improve products, or optimize processes. Their role involves staying updated on the latest scientific trends, conducting experiments, and analyzing data to drive innovation. This position requires strong problem-solving skills, creativity, and effective communication, as much of the work and collaboration is done online.

What are the key skills and qualifications needed to thrive as a remote innovation scientist, and why are they important?

To thrive as a Remote Innovation Scientist, you need a strong background in scientific research, creativity in problem-solving, and advanced degrees (such as a Ph.D.) in a relevant field. Familiarity with data analysis software, collaboration tools, and patent or intellectual property systems is typically required. Exceptional communication, self-motivation, and adaptability are crucial soft skills for remote work and cross-functional teamwork. These competencies ensure effective innovation, knowledge sharing, and the successful development of new products or solutions in a distributed work environment.
More about Remote Innovation Scientist jobs
What cities are hiring for Remote Innovation Scientist jobs? Cities with the most Remote Innovation Scientist job openings:
What are the most commonly searched types of Innovation Scientist jobs? The most popular types of Innovation Scientist jobs are:
What states have the most Remote Innovation Scientist jobs? States with the most job openings for Remote Innovation Scientist jobs include:
What job categories do people searching Remote Innovation Scientist jobs look for? The top searched job categories for Remote Innovation Scientist jobs are:
Remote Innovation Scientist jobs near you
Infographic showing various Remote Innovation Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Sr. Data Scientist

HNI Corporation

Chicago, IL • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

HNI Corporation rating

7.4

Company rating: 7.4 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

17th of 51 rated furniture manufacturers

Job description

HNI Corporation is a global family of brands for the workplace and home dedicated to enhancing the spaces where we live, work, and gather. We pride ourselves on fostering an environment where we make a positive impact on others; upholding our beliefs in integrity, inclusion and belonging.
 
The Senior Data Scientist is a highly experienced individual contributor within the Decision Science team, responsible for solving complex, cross-functional, and high-impact business problems using advanced analytics, machine learning, and statistical modeling. This role goes beyond model development to include technical leadership, solution design, and end-to-end ownership of data science initiatives—from problem framing and data strategy through production deployment and performance monitoring.
 
As a senior member of the team, this role helps shape HNI’s data science standards, mentors other data scientists, and partners closely with business and IT leaders to ensure data science solutions are scalable, reliable, and aligned to strategic priorities.
 
WORK AUTHORIZATION & LOCATION REQUIREMENT
 
This position is primarily remote but requires candidates to reside within the Chicagoland area and attend occasional onsite meetings as needed. Due to the remote nature of this role and associated employment requirements, the company is unable to provide employment-based visa sponsorship now or in the future. Applicants must be authorized to work in the United States without sponsorship, and candidates requiring current or future sponsorship will not be considered.
ESSENTIAL DUTIES AND REPONSIBILITIES
Advanced Analytics & Model Development
  • 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.

End-to-End Solution Ownership

  • 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.

Business Partnership & Communication

  • 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.

Technical Leadership & Standards

  • 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.

Data Strategy & Innovation

  • 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.
EXPERIENCE AND REQUIRED SKILLS
  • 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 QUALIFICATIONS

  • 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.

RELEVANT SKILLS

  • Strategic thinker with the ability to connect analytical work to business outcomes.
  • Technically curious, with a passion for continuous learning and innovation.
  • Comfortable operating with ambiguity and shaping problem definitions.
  • Collaborative mentor who elevates team capability without formal authority.
  • High standards for accuracy, reproducibility, and analytical rigor.
We look forward to hearing from you!

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