Data Scientist III

Who We Are

Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us.

What Drives Success

EMPLOYER: Lennox International Inc.

JOB TITLE: Data Scientist III

LOCATION: 2100 Lake Park Blvd, Richardson TX 75080

DUTIES:

• Execute complex data‑science initiatives across multiple business domains; develop advanced machine‑learning models, design scalable analytics solutions, and generate deep insights from large and varied datasets.

• Develop deep expertise in business functions and translate needs into high‑value advisory solutions for stakeholders; identify high‑ROI opportunities and refine 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; apply data‑exploration techniques to surface novel questions; build custom models, algorithms, and analytical frameworks that improve decision‑making, operational efficiency, and ROI.

• Merge, manage, interrogate, and analyze large structured and unstructured datasets; become expert in sales, marketing, engineering, supply chain, and finance data; apply statistical techniques and modern ML methods to produce solutions to complex problems.

• Collaborate with cross‑functional teams to implement models in production; develop tools to monitor model performance, drift, and data accuracy; foster pragmatic analytics combining advanced methods, new technologies, and deep business insight to drive decisions.

• Assess analytical tools, technologies, and external data sources; support proof‑of‑concepts to accelerate business success and sustained growth; present 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 We Are Looking For

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.

• Experience therein to include the following:

• 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; and

• Completion of a university-level course, research project, thesis, internship or one year of work experience involving the following:

• Business Analytics,

• Management Systems and Processes,

• Statistics and Machine Learning,

• and Advanced Analytics.

CONTACT: Refer to Job # GANH-W.

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