Data Scientist

Power Kiosk; Chicago (IL); On-site; USD 120,000 - 150,000; Full time

Job summary

Power Kiosk in Chicago is seeking a Data Scientist who can bridge advanced modeling with practical business impact. You will own data preparation, modeling, and delivering insights that drive revenue, product strategy, and operational performance.

You will work cross-functionally with Sales, Product, Finance, and Leadership to transform data into clear, strategic decisions, build scalable workflows, and develop KPI dashboards to monitor progress and outcomes across the organization.

Qualifications

• Proficiency in Python, R, and SQL for data manipulation, analysis and modeling.
• Experience with statistical modeling, machine learning, and data visualization tools.
• Strong analytical mindset with the ability to translate data into business insights.
• Experience working with sales, financial, or operational data to drive decision-making.
• Excellent communication skills with the ability to present insights clearly to non-technical stakeholders.
• Ability to manage multiple priorities and collaborate effectively across teams.
• Bias toward action and problem-solving mindset.

Responsibilities

• Build and deploy statistical and machine learning models to drive revenue, product strategy, and operational decisions.
• Develop scalable data workflows and reusable modeling frameworks.
• Explore and implement advanced techniques (e.g., forecasting, segmentation, optimization models).
• Extract, clean, and analyze large data sets to uncover trends, performance drivers, & growth opportunities.
• Develop and maintain KPIs, dashboards, and reporting to support business visibility and decision-making.
• Support budgeting, forecasting, and financial planning through data-driven insights.
• Partner with Sales, Product, and Finance to support strategic initiatives and optimize performance.
• Translate complex analysis into clear, actionable insights for stakeholders.
• Prioritize and manage analytics requests across teams, ensuring high-impact outcomes.

Skills

Python

R

SQL

Statistical modeling

Machine learning

Data visualization

Analytical mindset

Cross-functional communication

Sales/Finance data

Tools

Tableau

Power BI

Job description

This role reports directly to the VP of Product and is part of our Product & Analytics team.

This may be the most challenging job you have ever taken on. You will be asked to do more in less time than you think is possible, often with limited direction. You will need to create order from chaos, hold competing ideas in your mind at once, and develop practical ways to identify and solve real-world business problems. In short: figure it out and get it done.

If you succeed in this role, your perceived ceiling will be shattered. You will discover that you are capable of more than you thought, more discipline, more output, more ownership, and more confidence. That kind of confidence changes how you approach work, leadership, and life. If that sounds overwhelming, this may not be the right role or company for you. But if it has your full attention, keep reading. You may be exactly who we are looking for.

What We’re Looking For

• Care for the Greater Purpose - You care deeply about the success of the team and the company. You want your work to matter, and you want to be part of something bigger than yourself.
• Pain of Inefficiency - You notice inefficiency everywhere. When something is being done the hard way, it bothers you. You naturally look for cleaner, faster, smarter ways to get things done.
• Root-Cause Problem Solving - You are not satisfied with temporary fixes. You look for the real source of the problem and work to eliminate it. While others push harder, you remove the roadblocks that make progress easier.
• Love When Things Work Just Right - Recognition and rewards matter, but what really drives you is the feeling of seeing something work exactly the way it should. You enjoy building systems that make people more effective.
• Self-Aware Learner - You know what you know, and you know what you do not know. You learn quickly, separate what matters from what does not, and focus on the vital few things that move the work forward.
• Great Listener and Question Framer - You listen carefully, hear what is said and unsaid, and ask strong follow-up questions. You understand that the right question is often more valuable than a quick answer.
• Reliability and Accountability - When you take ownership of something, it gets done and done well. You do not need constant follow-up, and you help create accountability for others around you.

About Power Kiosk

Power Kiosk is a technology platform transforming energy procurement and management for enterprises, energy advisors, and suppliers. Our platform streamlines energy purchasing, pricing, and performance reporting workflows, bringing clarity, control, and efficiency to complex energy decisions.

What you will be doing

Power Kiosk is seeking a Data Scientist who can bridge advanced modeling with practical business impact. This role combines deep analytical rigor with strong business intuition, owning everything from data preparation and modeling to delivering actionable insights that drive revenue, product strategy, and operational performance.

You’ll work cross-functionally with Sales, Product, Finance, and Leadership to transform data into clear, strategic decisions.

Key Responsibilities

• Build and deploy statistical and machine learning models to drive revenue, product strategy, and operational decisions.
• Develop scalable data workflows and reusable modeling frameworks.
• Explore and implement advanced techniques (e.g., forecasting, segmentation, optimization models).
• Extract, clean, and analyze large data sets to uncover trends, performance drivers, & growth opportunities.
• Develop and maintain KPIs, dashboards, and reporting to support business visibility and decision-making.
• Support budgeting, forecasting, and financial planning through data-driven insights.
• Partner with Sales, Product, and Finance to support strategic initiatives and optimize performance.
• Translate complex analysis into clear, actionable insights for stakeholders.
• Prioritize and manage analytics requests across teams, ensuring high-impact outcomes.

Qualifications

• Proficiency in Python, R, and SQL for data manipulation, analysis and modeling.
• Experience with statistical modeling, machine learning, and data visualization tools
• Strong analytical mindset with the ability to translate data into business insights.
• Experience working with sales, financial, or operational data to drive decision-making.
• Excellent communication skills with the ability to present insights clearly to non-technical stakeholders.
• Ability to manage multiple priorities and collaborate effectively across teams.
• Strong problem-solving mindset with a bias toward action.

What Success Looks Like

• You deliver models and insights that directly improve business outcomes.
• You create clarity across the business through strong KPIs and reporting.
• You proactively identify opportunities, not just respond to requests.
• You become a trusted partner to Sales, Product, Operations, and Leadership.

Nice to Have

• Experience in energy markets, pricing, or marketplace platforms.
• Familiarity with forecasting, optimization, or predictive modeling techniques.
• Experience leveraging Generative AI models (e.g., LLMs) for data analysis, automation, or workflow optimization.
• Background in a high-growth or startup environment.

What You’ll Gain

• Direct impact on revenue, product strategy, and company growth.
• High visibility with leadership and cross-functional teams.
• Opportunity to work on complex, real-world data problems in a growing industry.
• Ownership over projects with the ability to shape data strategy and direction.

Why Join Power Kiosk

• Be part of a rapidly growing, exciting, dynamic phase of Power Kiosk’s growth journey.
• Work at the intersection of technology, data, and a massive, evolving market.
• Join a collaborative, high-impact team focused on innovation and execution.
• Help build a data-driven culture from the ground up and influence key decisions.