Data Scientist III

Lennox International • Richardson, TX

1d • $113,000 - $148,050 • Onsite

About The Position

Lennox (NYSE: LII) is a company with a 130-year legacy in HVAC and refrigeration, providing industry-leading climate-control solutions to residential and commercial customers. The company fosters a culture of teamwork, excellence, and innovation, aiming to deliver sustainable products and services. Lennox values its employees, creating a supportive environment for career development and ensuring all team members feel heard and welcomed. The company is a global community that encourages growth and long-term careers.

Requirements

• Master’s or foreign equivalent degree in Computer Science, Data Science, Business Analytics, Electrical and Computer Engineering, Mathematics, Information Systems, Management Science, Information Technology Management, or a related field and 2 years of experience in the job offered, or as a Data Engineer, Data Analyst, or in a related/similar position.
• 2 years with Python, R, Scala, or SQL
• 2 years with Database technologies including Build ETL/ELT pipelines, SQL scripting within data Warehouses, and Build analytical data models
• 2 years applying machine-learning algorithms including regression, tree-based methods, clustering, or neural network models
• 2 years translating business challenges into visual analyses using Qlik, Tableau, Power BI, or comparable reporting tools
• Completion of a university-level course, research project, thesis, internship or one year of work experience involving Business Analytics
• Completion of a university-level course, research project, thesis, internship or one year of work experience involving Management Systems and Processes
• Completion of a university-level course, research project, thesis, internship or one year of work experience involving Statistics and Machine Learning
• Completion of a university-level course, research project, thesis, internship or one year of work experience involving Advanced Analytics

Responsibilities

• Execute complex data-science initiatives across multiple business domains, developing advanced machine-learning models, designing scalable analytics solutions, and generating deep insights from large and varied datasets.
• Develop deep expertise in business functions and translate needs into high-value advisory solutions for stakeholders, identifying high-ROI opportunities and refining data-management and analytics procedures, systems, workflows, and best practices to strengthen the machine-learning practice.
• Develop and deliver end-to-end machine-learning projects, applying data-exploration techniques to surface novel questions, and building custom models, algorithms, and analytical frameworks that improve decision-making, operational efficiency, and ROI.
• Merge, manage, interrogate, and analyze large structured and unstructured datasets, becoming an expert in sales, marketing, engineering, supply chain, and finance data, and applying statistical techniques and modern ML methods to produce solutions to complex problems.
• Collaborate with cross-functional teams to implement models in production, developing tools to monitor model performance, drift, and data accuracy, and fostering pragmatic analytics combining advanced methods, new technologies, and deep business insight to drive decisions.
• Assess analytical tools, technologies, and external data sources, supporting proof-of-concepts to accelerate business success and sustained growth, and presenting insights using clear, compelling data-visualization techniques.
• Demonstrate senior-level contribution through organization, coaching, and mentorship; share information openly, coordinate activities, and jointly solve problems; support team education on new processes and technologies; model effective cross-functional communication and champion learning initiatives; cultivate positive working relationships across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior