> Markdown version of [/jobs/ext/1448996-data-science-consultant](https://www.wearedevelopers.com/jobs/ext/1448996-data-science-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Consultant - **Company:** Inspire11 - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $88,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Logic Synthesis of Circuits, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, SQL Databases, Large Language Models, Machine Learning Operations - **Published:** July 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=404e05bb71fbaf49 ## About the Role * At least 2 years of Data Science experience * Fluent in SQL and Python * Experience seeing through a data science project from scoping to solution * Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing, research design, and machine learning algorithms * Experience communicating your results visually * Experience deploying models into a cloud environment * Experience building applications that leverage GenAI/LLMs This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant's employment visa. ## Description * Work life balance: We are respectful of people's boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs * Vibrant company culture: We love to keep things light-hearted, both within our client work and at companywide events What you can expect in this role: * Conduct detailed analyses to understand and explain business problems and utilize standard analysis skills * Create clear and actionable Data Science roadmaps and supporting business cases * Communicate Data Science methodologies to non-technical audiences * Work with digital design and engineering practices on end-to-end solutions * Identify the right data science and machine learning solution for the client's problem, Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven's skill, experience, performance, responsibility, and effort. We may also consider an employee's length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company's financial ability. Compensation may be increased or decreased at Inspire11's discretion based on an employee's performance reviews, market conditions, and the Company's financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation. Bonuses We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual's periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company's current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out. Each year, the Company will decide whether the Company's financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team, Market Directors, and Managing Directors will work together to grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees' diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool. Options or Other Equity in Inspire11 Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers' recommendation, and leadership approval. These options have a vesting period associated with them. ## Related Videos - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)