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Remote Data Science Certificate Jobs in Illinois

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

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Remote Data Science Certificate information

What are the key skills and qualifications needed to thrive as a Data Scientist working remotely, and why are they important?

To thrive as a remote Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a relevant degree or data science certification. Familiarity with programming languages like Python or R, machine learning frameworks, and cloud-based data platforms is essential. Excellent communication, self-motivation, and time management distinguish outstanding remote professionals in this field. These skills ensure you can independently analyze data, derive insights, and effectively collaborate with distributed teams to drive data-driven decisions.

What are some common challenges faced when pursuing a Remote Data Science Certificate while balancing work or other commitments?

Pursuing a Remote Data Science Certificate often requires strong time management skills, as balancing coursework with work or personal responsibilities can be challenging. Students may face difficulties staying motivated without in-person interaction and managing multiple deadlines for projects and assignments. To overcome these challenges, it’s helpful to establish a consistent study routine, actively participate in online forums, and seek support from instructors or peers. Many programs also offer flexible pacing to accommodate different schedules, which can make balancing commitments more manageable.

What is a Remote Data Science Certificate?

A Remote Data Science Certificate is a credential earned by completing a data science program that is delivered entirely online. These programs typically cover key topics such as statistics, programming, machine learning, and data analysis, allowing students to learn at their own pace from any location. Upon completion, graduates receive a certificate that can help demonstrate their skills and knowledge to employers in the data science field. Remote certificates are ideal for those who need flexibility due to work or personal commitments.

What is the difference between Remote Data Science Certificate vs Remote Data Analyst?

AspectRemote Data Science CertificateRemote Data Analyst
Required CredentialsCertificate programs, foundational data science skillsOften a degree in statistics, mathematics, or related field
Work EnvironmentProject-based, research, and development teamsBusiness intelligence, reporting, and data interpretation
Industry UsageTech, finance, healthcare, and research sectorsRetail, marketing, finance, and consulting firms
Search & Comparison IntentLearning pathways, certification programsJob roles, responsibilities, skills required

The Remote Data Science Certificate provides foundational knowledge and certification for those entering data science roles, often focusing on programming, machine learning, and statistical analysis. In contrast, a Remote Data Analyst typically focuses on interpreting data, creating reports, and supporting business decisions. While both roles work with data, the certificate prepares individuals for more technical, development-oriented tasks, whereas data analysts focus on data visualization and reporting within business contexts.

What are the most commonly searched types of Data Science Certificate jobs in Illinois? The most popular types of Data Science Certificate jobs in Illinois are:
What job categories do people searching Remote Data Science Certificate jobs in Illinois look for? The top searched job categories for Remote Data Science Certificate jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Science Certificate jobs? Cities in Illinois with the most Remote Data Science Certificate job openings:

Sr. Data Scientist

HNI Workplace Furnishings

Chicago, IL • On-site, Remote

Other

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


Job description

Description
Position at HNI Corporation
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!
HNI Corporation (NYSE: HNI) is a manufacturer of workplace furnishings and building products, operating under two segments. The workplace furnishings segment is a leading global designer and provider of commercial furnishings, going to market under multiple unique brands. The residential building products segment is the nation's leading manufacturer and marketer of hearth products.We offer benefits starting from Day 1. To learn more, visit www.HNIbenefits.com.Our company endeavors to make www.hnicareers.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 563-272-7400 or via email at [email protected] Company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.