Data Scientist III

• 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.

• 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: o Business Analytics, o Management Systems and Processes, o Statistics and Machine Learning, o and Advanced Analytics.

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.