Data Scientist 1

This role links business strategy to enterprise data by transforming structured and unstructured data into actionable information, advanced analytics, and predictive models that support data-driven decisions across the organization.

Responsibilities

• Gather, process, clean, enrich, and integrate structured and unstructured data to build advanced models to turn data into insights.
• Creatively analyze data to understand drivers of historical business performance and build predictive models to inform future business strategies.
• Develop a deep understanding of the organization's data structure; improve data quality to enhance robust data analysis.
• Create new data sets when little or no data is available to inform marketing analysis.
• Engage with third-party data providers to strengthen and enrich data models; inform purchase of new data.
• Understand all sources of data across the enterprise, link to data strategy, and evolve ability to measure and track key data points.
• Collect and provide quantitative and qualitative information to measure effectiveness of marketing activities and answer strategic business questions.
• Analyze and discern campaign execution, targeting, and optimization of marketing investment to deliver sales and operating profit across brands.
• Utilize visualization solutions to improve timeliness of data delivery and provide better visibility to decision makers.
• Perform marketing research and analysis to inform customer targeting, segmentation, and longitudinal tracking of Customer Lifetime Value.
• Assist with internal assessments of workflow processes to identify inefficiencies, especially in Marketing, and propose automation solutions.
• Assist with maintenance and management of Marketing SQL database and Snowflake cloud data warehouse.
• Provide data science support and ad hoc analysis to enterprise leadership as needed.
• Perform additional projects or duties to support ongoing business needs.

Requirements

• Basic knowledge of programming and analytical languages/tools such as Python, SQL, Perl, Java, C/C++, or similar technologies.
• Working understanding of data science methods, analytical tools, statistical techniques, and visualization approaches.
• Working understanding of data engineering concepts including data pipelines, ETL/ELT, data quality, databases, cloud data warehouses, and scalable data delivery.
• Ability to work with structured and unstructured data from multiple channels, systems, and sources.
• Demonstrated analytical, quantitative, and creative problem-solving skills.
• Effective written and verbal communication skills, including explaining analytical findings to technical and non-technical audiences.
• Effective organizational and time management skills, including prioritization of multiple tasks and projects.
• Solid collaboration abilities; professional and diplomatic team builder across business, analytics, and technology teams.
• Ability to apply good judgment, strong work ethic, and integrity on the job.

Qualifications

• 0-2 years of work experience in a Marketing, Consulting, Business Analyst, or Data Science role.
• Light experience solving complex business problems involving analytics or data science.
• Marketing-based experience preferred (D2C or B2B performance marketing).
• HVAC industry experience preferred, but not required.
• Bachelor’s degree (preferred) in Engineering, Statistics, Mathematics, Economics, Computer Science, or other related degree with strong quantitative emphasis.

Must be able to perform essential responsibilities with or without reasonable accommodations.